* using log directory 'd:/Rcompile/CRANpkg/local/3.6/diveMove.Rcheck'
* using R version 3.6.3 (2020-02-29)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* checking for file 'diveMove/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'diveMove' version '1.6.0'
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'diveMove' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking 'build' directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* loading checks for arch 'i386'
** checking whether the package can be loaded ... OK
** checking whether the package can be loaded with stated dependencies ... OK
** checking whether the package can be unloaded cleanly ... OK
** checking whether the namespace can be loaded with stated dependencies ... OK
** checking whether the namespace can be unloaded cleanly ... OK
** checking loading without being on the library search path ... OK
** checking use of S3 registration ... OK
* loading checks for arch 'x64'
** checking whether the package can be loaded ... OK
** checking whether the package can be loaded with stated dependencies ... OK
** checking whether the package can be unloaded cleanly ... OK
** checking whether the namespace can be loaded with stated dependencies ... OK
** checking whether the namespace can be unloaded cleanly ... OK
** checking loading without being on the library search path ... OK
** checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [20s] OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of 'data' directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking pragmas in C/C++ headers and code ... OK
* checking compiled code ... OK
* checking installed files from 'inst/doc' ... OK
* checking files in 'vignettes' ... OK
* checking examples ...
** running examples for arch 'i386' ... ERROR
Running examples in 'diveMove-Ex.R' failed
The error most likely occurred in:

> ### Name: fitMLEbouts,numeric-method
> ### Title: Maximum Likelihood Model of mixtures of 2 or 3 Poisson Processes
> ### Aliases: fitMLEbouts,numeric-method fitMLEbouts
> ###   fitMLEbouts,Bouts-method
> ### Keywords: manip methods models
> 
> ### ** Examples
> 
> ## Run example to retrieve random samples for two- and three-process
> ## Poisson mixtures with known parameters as 'Bouts' objects
> ## ('xbouts2', and 'xbouts3'), as well as starting values from
> ## broken-stick model ('startval2' and 'startval3')
> utils::example("boutinit", package="diveMove", ask=FALSE)

boutnt> ## 2-process
boutnt> utils::example("rmixexp", package="diveMove", ask=FALSE)

rmixxp> ## Draw samples from a mixture where the first process occurs with
rmixxp> ## p < 0.7, and the second process occurs with the remaining
rmixxp> ## probability.
rmixxp> p <- 0.7

rmixxp> lda <- c(0.05, 0.005)

rmixxp> (rndprocs2 <- rmixexp(1000, p, lda))
   [1]   1.23235172   7.39443616  24.52561511   5.42041863   0.18020132
   [6]  31.39302209 135.72156318   6.17779901   1.17725586   4.11015204
  [11]  28.94059278  15.13581622 106.36562440  12.78407286 356.71755856
  [16]  13.72322208 343.99833901 105.60777402   0.75752350 156.77767879
  [21] 213.19194472   8.20301360   3.66141205  18.52611353   5.83367535
  [26]  39.13407430  22.43737442   0.52072329  21.16421849  33.80405977
  [31]   4.57387436   0.06545776  37.82490931  26.48013182  32.95521876
  [36]  18.57726881 145.01201135   1.39446919 260.76784468  33.84446584
  [41] 100.87630628  26.10191978  22.78107740  47.24300105  53.77219899
  [46] 338.39107527   1.26255605   2.22908690  30.60534362 111.58049076
  [51]   4.76770413 260.63417382   7.01301342  74.57450203  20.88860163
  [56]  23.01749172   5.55023879  56.51694402   7.84770354  12.62256699
  [61]   2.96914140  47.31892543  17.21599056  17.83419382   8.17915286
  [66]  10.86699792  90.82049592  35.17959539  26.74601322 434.18275754
  [71]  27.68347198  31.68862781   7.61114744  88.41393031   7.44523577
  [76] 116.66983841   2.99739549  18.50904353  94.88491090 182.40163083
  [81]  10.98834807 483.95552329  13.31672699  10.33692620  38.59998200
  [86]  15.62420247 202.56409663   1.52295461  26.34895110  16.31668597
  [91]   6.38200054  12.64222019  27.55769119 333.36175902 169.51753794
  [96] 120.85160334  34.00519632  11.59170941   9.68598798  19.46574382
 [101]  15.87711064  12.07592153  54.87664882 135.24890663  46.95295039
 [106]   8.70256268   3.45362257  81.13640170 294.17519842  48.57458267
 [111] 164.69495594  26.63298352  20.14632780   5.23053734  15.72317302
 [116]   7.49320624 296.44575937  12.40843087  10.50418768  20.19381301
 [121] 453.96161710   5.86516300  11.59656446  28.29349145 213.90315927
 [126]  19.22559003  35.56869417  31.70517720   4.52796916  71.38618301
 [131]  42.74418581  11.15356166   2.87245930  20.37330963 102.62406430
 [136]  28.35976639   9.65572100   9.33267157  97.89409889  15.63497136
 [141]   9.44686141  43.10727831  16.32694919  26.79235831   5.38805278
 [146]   3.50911109  70.67643662  52.11631544  12.74007338 218.66276655
 [151]  29.16327521  47.49071192  21.89840875   4.35621714  73.05412005
 [156]  58.83680924   5.57379089  26.04986442   8.08360410  25.79610083
 [161]   0.07833291 591.14974883  17.70100240 129.63195660 117.03814566
 [166]  10.19108771  42.69815247  29.40665189 471.70871096  36.93596847
 [171]  23.82816113   2.48347092  10.62527823  10.17068890  18.23084567
 [176]  89.52386258  33.18038531   8.02320227  33.06594072  93.81923224
 [181]  34.13429033  12.11469717  84.79737258   0.10389729 232.02598075
 [186]   9.67868621 104.83495621 147.20780346 142.57814120   7.15363240
 [191] 146.33002163  12.06893255  14.30834279 237.11045384  14.15332992
 [196]  40.54416485   1.05872038   6.32955041   4.01220778 138.85710185
 [201]   0.03855076   6.78418824   7.79428427  11.30041257  29.96954251
 [206]  33.84519558  10.38171641  15.31179950  13.42195589 205.78892565
 [211] 396.48957400   7.78181906 342.66489258 452.57280057 599.22935065
 [216]  13.84080866  23.74679940  12.52070187 101.72909442   4.23563252
 [221]   1.13651186   3.87805536  43.31654554  17.78045598 340.83429611
 [226]  44.82388507  36.66777686  45.86882014  35.35931475 310.33144480
 [231]  25.21503836  35.50826405  53.19181908  33.15253384  11.91450299
 [236]  42.08150923  18.99640480   2.27557097  22.22257685  30.64881708
 [241]   2.68541851  20.59083624 451.35724903  13.25279717  11.32895666
 [246]   2.06537092   3.62704340  12.95850403   5.27541461 142.03699629
 [251] 201.67593825 371.20169195   1.03733215   2.30746656  27.82704194
 [256]  16.20890718   9.75131424   5.27304960  36.70581515 241.02848246
 [261]  20.71689541  67.64954894  28.62536572 335.56017799 502.13841980
 [266]  26.15207067  42.02398855  24.80236897  20.78487225   1.62569124
 [271]   5.36330615  24.63787092   9.43561374  14.16670887  26.35071397
 [276]  84.70879321  23.58507546  12.23662217  83.46014119 134.60482368
 [281]  24.01007796  24.68282627  65.94245159   3.60317984   7.50799338
 [286]  16.88529095   3.59610969  19.57010822  34.06873755   8.58910901
 [291]   1.12663005  28.61909971 122.45814474  41.89085209  22.77308030
 [296]   9.29120200  18.87278696  18.46260544  30.76991398 179.36603780
 [301]  33.74217473  13.57886313   6.57229909  29.94465612  19.93348872
 [306] 132.57208755  12.90156418 316.29874481  27.56531877  19.61602815
 [311]   7.59568647   8.67683508 948.68336687 596.62621465  50.66960338
 [316]  25.76886101   6.16766005   8.45880958 344.06903273   1.23636019
 [321]   2.88986855   6.91443307  12.22349599 148.73238305 395.45536226
 [326]  13.83590344 553.68731951 245.82544993   9.90823698  78.31639918
 [331] 530.74197878   4.46127173  76.09904300  59.88489967   5.37122748
 [336]  11.72284408  26.35866834  14.13085602  27.40726273 240.14289984
 [341] 536.06401940  13.30363348  21.76137713   3.93401933   9.58425991
 [346]  44.22645505   1.84960187   4.01632130  28.99965346   3.72493491
 [351]  23.22693622 124.74211424 661.58885058   5.72582409  65.84820910
 [356]   6.31344268 338.57159836  52.05102961  33.25431404   4.84714469
 [361]   3.10077201  10.79265862   6.07101388   9.04216220  12.54546350
 [366] 227.78754643  50.67550156  29.86211618   6.18921654  12.88819105
 [371]  24.26567401  29.09479715 341.76885836  11.36559786   2.67604630
 [376]   4.61908645  11.79201160 195.82617436  31.98954034  12.29843382
 [381]  15.39187767 101.17771599  28.79636512 298.92056843  65.86750239
 [386]  57.15985343  24.79684360 156.40780948  18.50787146  80.49857337
 [391]  13.62139659   4.46425084 624.06659421   7.68690680  10.65319792
 [396]  52.58444506   9.92065950   0.10630931  26.42019626  11.55053559
 [401]   1.23880534  63.41971174   5.97349526 662.28944060 501.31591668
 [406]  75.33020861  57.74843603 243.88994227  24.45994496  46.22192755
 [411] 214.61875643   1.29115096 146.63672167  29.14424893   7.83073570
 [416]  54.26522936  20.13029208   1.09481466  17.59342923  58.72787943
 [421]   3.97136632   3.25513272  14.36589517  12.23130825  54.10751920
 [426]   4.75100009   8.18935080 315.00036156  16.89427995   2.66160616
 [431]  45.02308344   7.79927064  39.47700362   4.75958540  28.07556237
 [436]  55.26277786 647.92595535   9.80915839  41.71178777  53.51545727
 [441]  23.68301442  16.08054753  35.32724734  40.31966984  30.08394190
 [446]   1.17986417  24.08836802  17.33740782  11.48043704  19.48802583
 [451] 135.21540733   2.95894817   5.64466009  12.24541335   0.81267969
 [456]   7.87531153  64.04154047 102.74172677   3.66694899   0.40561852
 [461]  14.21619867   3.69621989  47.37106699  20.27426869   4.25142098
 [466]  29.51655900  38.79535375   2.80068550  28.23404425   5.02331260
 [471]  18.81099054 354.78214881 204.49046738   3.51599762   2.90149517
 [476]   6.19670963  55.01458931  24.33312403  34.94001202  28.88355610
 [481] 386.12929767  45.49132529  42.00640321 308.99081789  25.13695795
 [486]  21.69541668   1.55319205  37.58573841  98.21740920   6.85816309
 [491]  35.85430112  41.19785847   0.25485043  36.42841399  17.81423468
 [496]  16.02006851  60.37757425   4.17091321 156.87675302  23.21009438
 [501]  31.85793441  28.42724650   3.75973187  32.24599097  10.51122900
 [506]  24.12125997  19.60269619  32.93077471 442.87192260   2.82576052
 [511]  24.27090025  23.72326286  14.54050617  58.33688357 101.86601905
 [516]  26.83440797   0.57667328   1.69138874   1.02083882   0.90648809
 [521] 282.72248021 163.24980123  43.76465311  25.29746776   8.79663405
 [526] 573.20987579 127.99747242  75.05446505 139.75894759 275.51435082
 [531]  11.47827632   3.82368491   7.25417920  49.66000180  14.35190206
 [536]  22.39127323  30.15215865  10.02060936  21.65844742  12.27497937
 [541]  14.00408186  37.18542159  32.72040456  35.75143147  33.10992846
 [546]   1.68915880 102.11516824  18.72501032  74.74237632  72.91322453
 [551] 148.92181024  23.56921170  18.23219251  33.95632096  46.76983425
 [556]   2.67634435  27.12414214  13.30642659 323.19101317  63.45961727
 [561] 125.79574551  19.49901789   0.17401473 345.47004280  51.05364723
 [566] 107.56264064  16.73126351   0.94649235  47.27150595 938.53036722
 [571]  47.17360306  23.09653148  23.23097598  12.40232229 467.65631994
 [576]  34.75219779  58.96076262  27.74478907 298.02036523  59.23886448
 [581]  17.87861495 169.13049965   1.03058085  46.49195712   7.14215341
 [586]  36.83784187   1.19217820  12.06715316 189.17919285  76.50936469
 [591]  10.92178090  14.80643421  71.50406120   2.87523474 341.17527600
 [596]  11.30885428 143.42113457  10.02493520  13.22929750  19.03664252
 [601]  84.81326401 139.99867550  18.61074347  78.38193886 277.10595372
 [606]  74.08355910  13.82175914  24.02527001 342.92875787  38.00557181
 [611]  46.78788310  43.69129549  31.09183541  12.01801138 150.03786300
 [616]   3.33806550  44.10450939   1.10650623  14.53101787  11.65084860
 [621]  39.54747347  70.78757215  80.17729472  13.63591071  19.97493768
 [626]  17.40675539  12.91591919  27.01073758  89.21599246 689.93143138
 [631]  92.14815255  45.07521387  44.10295132  54.86878688  26.92741329
 [636]  14.97539452  11.76284076  50.74001986  15.99751782  29.52676054
 [641]  65.39043803   1.64088339 112.21445892  42.57385920 113.51003693
 [646]  46.59819265   1.45866031 327.44536100  14.78900131 109.51654706
 [651]   3.79036282 521.09380176  33.08075663   8.04362860  15.39756171
 [656]  17.60934871   2.50661169  21.47706460  29.79002797 123.92275101
 [661]  90.44970847  69.99582248   5.65731155  12.31405255  68.90356496
 [666]   6.89624861 399.21408890   7.23989277   1.89216735   4.38310961
 [671] 185.17583328  33.97567358  24.54721476   7.40418867  10.83924429
 [676]  57.56909623   2.34641124  51.10296388   2.41399041   3.02304179
 [681]   6.70006201  63.21943291   3.53586321  47.16469642  32.70768776
 [686]   4.08618845   7.47324261  25.92907669  25.61023449  36.77077029
 [691]  36.71322707   4.80562589 136.83457673  89.11092974  28.40039353
 [696]   3.04113998 873.36748610  46.93746935 106.98034065  56.75600230
 [701] 109.98082571 253.79714015 113.92690344  56.78444370  23.15506985
 [706]  40.95603760   6.11516557  12.15472466 342.27211623 407.04857184
 [711] 217.49877817  15.29327684  53.77376135  23.41373268   0.74284533
 [716]  55.90196620  26.93881599   8.43218926  19.12676875 111.98733700
 [721]   3.83416469   6.11499767 101.88961411  35.48255274  23.21478926
 [726]   3.75641044  30.80254540  15.19530646  35.53723324   4.74742490
 [731] 165.61318039   9.90153933  25.14007790   2.61543982  53.33273159
 [736]  10.55696672  32.16143083 232.86781049   0.38448496  14.11623248
 [741]  12.37598236   1.71253206   7.61088710   5.95088503  50.85129235
 [746]   3.82278339   1.78357379  55.72509808  23.10474364   2.91319910
 [751]  50.69974913 333.38869473  15.78803199   8.70885342  20.53662931
 [756]   1.17709536   3.73994995  10.39556048 608.57156512   5.24719809
 [761] 349.81856084   8.29026343 150.40725581  47.29201343   8.52829078
 [766]  10.03256489  34.96197130 296.23104391  63.86132529 145.51815677
 [771]  13.71869981 144.82188327  21.90150548 306.27717759  17.84934707
 [776]   1.44215327  10.34678194 270.41646465  27.81902818 138.71090560
 [781] 319.96796638  23.29255478 379.49015720  38.37472267   1.39277522
 [786]  47.54472006  11.78786202   2.85388920   1.59915539  33.48466281
 [791]  20.67529038   3.42267334 104.45584072   6.06192624  75.91204624
 [796]  52.27011967   6.32474610  11.46975444 398.90168308  18.87919966
 [801]  11.90472376  37.00579718  12.96225647 217.12030470   0.40992647
 [806]  11.68782745  17.83179685 754.58535108  11.19657428  16.30085664
 [811]  47.21681583  46.27879377  18.83350735 194.67469307  17.56245903
 [816]  38.93053520  35.61789915  16.74674386  65.24224564 138.72042526
 [821]   1.32723464  11.08961484 740.56841244 461.66567257  78.67066786
 [826]  22.15208780  26.35726904  18.50533551   9.56915818 103.15137718
 [831]  11.97427134  51.39687748  24.57685632 338.50318080   1.08675206
 [836]   0.21956433  24.26817831  94.77775330 162.26011793   6.25135488
 [841] 111.89044109   8.88210023   3.81285516  25.61847359   2.36738315
 [846]   3.02267440   4.66836757   7.61926696 322.77925981   1.91313262
 [851] 584.59272679 222.64315597  24.17862987  45.91067927   0.24757762
 [856]  20.89935426  20.19331586  29.31881538  67.90620237  25.93998261
 [861]  14.71342711  34.71783664  56.18071763  11.78430361  55.71910351
 [866]   1.73139220  71.83892082  11.06679592 102.92059733  90.18091715
 [871]  12.71656328  58.54455524 273.08945655  19.83609162  10.63148904
 [876]   8.18622053   0.77431278   9.44608540  80.08615708  26.33570042
 [881]  23.23698409  22.76868382  37.73917557  70.39826503   4.11257827
 [886]  75.21352778  46.51207440   4.19365738   5.81656239  12.01905333
 [891]  23.58901052  28.26454934   6.06534259  11.98033493  34.36339333
 [896]  20.24227288   3.57087760  17.69923257  10.74505137  17.22688227
 [901] 174.77711587  19.33405631  12.06902835  20.68679342   1.89203711
 [906]  67.84458324   7.40739341   1.04066274  24.69506074  28.40872088
 [911]   1.10171362 226.70906297   0.64265991  33.70342523   3.21495171
 [916]  50.63390407   6.24396645 224.63470268 281.49469469 193.96210119
 [921]   1.36915804  10.40762495 450.56166833   5.86482932 141.19490288
 [926] 384.68898757 246.07505257  18.45785754   1.13165013   9.12902727
 [931]   1.83014765  43.38750225   1.31295479  16.31832004 359.75345707
 [936]  61.21831127 324.27471388   6.90012565  94.71189557  31.95842076
 [941]  39.04109590  38.06225214  13.59424198  30.74280973  10.28201485
 [946]  22.67041910  33.98204513 264.20498434  20.37007886  48.23482875
 [951]  11.70163972   9.35182147  10.06881358   9.78254369   5.19806494
 [956]  14.65986870 156.53418277   0.50377508   2.69656237  26.00040523
 [961]  19.45420689  14.68301985  12.89534089   4.19195105   6.85038244
 [966]  22.57696691   9.53407586 139.05849735 140.72283739 199.95594862
 [971]  68.85280488   9.93765215  21.25778390 162.83729839   9.49512456
 [976]   5.07877583   5.34166825  35.85298163  34.69930462  73.27907672
 [981]  48.90687140  31.55731827  35.64860951   2.46978331  30.35986312
 [986]  53.39126717  17.09105994  31.87092362 396.77952824   0.45707795
 [991]  31.87068865   3.10593053  20.70858680  24.50397480   3.39312843
 [996]  12.52153113  39.26755728  22.89595526  37.79102892  10.74983870

rmixxp> ## 3-process
rmixxp> p_f <- 0.6    # fast to slow

rmixxp> p_svs <- 0.7  # prop of slow to (slow + very slow) procs

rmixxp> p_true <- c(p_f, p_svs)

rmixxp> lda_true <- c(0.05, 0.01, 8e-4)

rmixxp> (rndprocs3 <- rmixexp(1000, p_true, lda_true))
   [1] 1.636879e+01 1.168547e+01 5.727896e+02 1.361505e+01 1.492805e+01
   [6] 3.894625e+01 4.219915e+00 1.317828e+01 3.279384e+01 1.288953e+01
  [11] 1.437416e+01 4.212292e+01 3.830252e+00 2.198537e+01 1.068208e+01
  [16] 4.760101e+00 1.738753e+01 1.646667e+01 6.876865e+01 3.017594e+01
  [21] 3.225499e+00 1.230965e+01 5.712338e+01 1.012069e+01 8.403804e+01
  [26] 9.138772e+00 1.175945e+02 1.873955e+02 1.105653e+02 6.975133e+00
  [31] 1.282795e+01 1.108896e+02 2.707522e+01 7.022047e+00 2.796125e+01
  [36] 9.702391e+01 6.389268e+00 3.402486e+01 1.436688e+01 1.614905e+01
  [41] 3.008368e+01 9.603834e+00 9.583668e+01 5.253444e+01 2.422525e-01
  [46] 7.025634e+02 1.456073e+01 6.247050e+02 5.800990e+00 2.016964e+00
  [51] 1.787990e+01 2.500248e+01 1.035390e+02 4.280734e+01 2.762872e+01
  [56] 7.331686e+01 7.851863e+01 6.840130e+01 9.351063e+01 1.002579e+02
  [61] 1.692306e+01 3.634488e+00 3.487736e-01 1.133370e+01 2.208065e+03
  [66] 1.915109e+01 3.943642e+01 2.236978e+00 2.823103e-01 4.464291e+01
  [71] 2.379794e+01 1.622908e+01 2.404874e+00 8.471348e+00 8.889192e+02
  [76] 2.022567e+01 1.078574e+02 1.067291e+01 8.291542e+01 9.930199e+00
  [81] 4.510694e+00 5.120572e-01 1.150789e+01 3.158661e+00 4.944444e+02
  [86] 4.368550e+02 2.159005e+02 9.038838e+00 2.333803e+02 1.031960e+02
  [91] 2.245032e+01 3.273962e+01 3.929666e+01 8.286894e+01 2.231185e+02
  [96] 3.273303e+00 4.168283e+00 3.914496e-01 3.990569e+02 1.618102e+01
 [101] 1.989747e+01 6.103124e+01 2.081585e+01 1.443994e+00 1.710211e+01
 [106] 1.091767e+01 1.513582e+01 1.757345e+00 3.086051e+01 2.247051e+01
 [111] 2.757771e+00 7.956489e+01 7.101454e+00 1.457501e+02 2.393467e+01
 [116] 1.367667e+01 1.544813e+00 1.589624e+01 3.681539e+01 2.644252e+01
 [121] 8.403743e+01 1.145191e+01 1.294328e+01 1.508407e+01 6.544260e+01
 [126] 9.920094e+01 5.076547e-01 1.285642e+02 1.538538e+01 1.521254e+01
 [131] 1.924507e+01 3.032309e+00 6.540322e+00 7.283783e+02 4.479351e+01
 [136] 1.486372e+01 3.650900e+00 5.017756e-02 6.981192e+00 3.965231e+01
 [141] 4.590557e+00 3.135120e+01 7.583459e+01 3.379038e+02 1.247410e+01
 [146] 2.681761e+01 3.578058e+00 5.970908e+01 1.053269e+03 1.790837e+01
 [151] 1.037392e+01 1.994890e+02 5.139214e+00 1.724095e+01 2.837676e+01
 [156] 1.253137e+02 5.708383e+01 2.099505e+02 1.257118e+01 2.891236e+00
 [161] 2.930115e+01 4.250603e-01 2.664157e+02 6.796347e+00 1.642791e+01
 [166] 7.634139e+00 3.018546e+01 1.754475e+01 1.100939e+01 1.870254e+02
 [171] 1.567602e+03 1.839117e+00 8.478833e+00 5.770892e+00 3.242565e+01
 [176] 9.464497e+01 4.790417e+01 3.818601e+00 4.344243e+01 1.242369e+01
 [181] 4.714257e+01 3.248092e+01 2.156180e+02 7.015776e+01 1.648538e+03
 [186] 2.679517e+01 3.069350e+00 1.365831e+00 8.300527e+01 1.204300e+01
 [191] 1.327179e+01 3.596771e+01 2.714610e+01 1.335543e+03 1.100807e+03
 [196] 8.053340e+02 1.759712e-01 9.104714e+01 3.584671e+01 1.389366e+02
 [201] 2.406537e+01 4.290093e+02 3.776884e+01 1.189756e+01 3.809743e+02
 [206] 1.522345e+03 3.964275e+01 7.550632e+00 1.103272e+03 2.904356e+01
 [211] 2.630351e+00 7.091364e+01 3.970651e+01 2.726965e+01 4.060686e+01
 [216] 1.202033e+02 4.605338e+01 3.092173e+01 2.143678e+00 3.234851e+01
 [221] 9.425900e+00 1.497481e+03 5.513778e+01 1.843432e+01 1.148393e+01
 [226] 1.912271e+02 1.165839e+02 5.738232e-01 1.317025e+01 2.494694e+03
 [231] 1.714946e+01 5.844127e+00 1.129539e+01 8.491537e+01 2.065267e+01
 [236] 4.590436e+03 6.378785e+01 1.108825e+01 1.576874e+02 6.007586e+01
 [241] 5.579493e+01 7.260517e+01 3.206938e+01 5.320842e+01 1.141265e+02
 [246] 3.832619e+01 1.729607e+01 4.086757e+01 6.655791e+01 2.163886e+02
 [251] 5.582911e+01 1.832382e+01 2.638297e+01 2.729063e+01 3.119703e+02
 [256] 1.744305e+01 4.430698e+03 5.501100e+00 1.118894e+01 6.219737e+00
 [261] 1.035366e+01 8.435488e+00 7.749319e-01 3.148183e+01 7.933687e+01
 [266] 3.624276e+01 7.844075e+01 7.316398e+01 4.876699e+00 2.330945e+02
 [271] 6.398285e+00 5.733193e+02 2.763063e+03 1.908485e+01 5.064416e+01
 [276] 3.197058e+02 7.091798e+01 2.080823e+01 2.350497e+01 1.737829e+02
 [281] 4.007229e+02 1.967292e+01 1.867645e+03 4.878656e+01 1.466652e+01
 [286] 2.468646e+01 3.297368e+00 2.933968e+02 2.313035e+01 1.426927e+01
 [291] 1.950101e+01 3.289785e+01 2.098547e+01 1.230117e+01 8.975205e+00
 [296] 5.783810e+00 2.624158e+01 1.202947e+02 9.969642e+02 7.621740e+00
 [301] 1.764299e+01 3.413469e+01 6.221966e+01 1.619572e+01 1.028745e+02
 [306] 1.304884e+02 1.754104e+01 1.436718e+01 5.052653e+01 2.108924e+03
 [311] 5.355508e+00 3.114175e+00 6.861446e+01 4.396551e+01 2.675377e+01
 [316] 2.441947e+01 8.680331e+01 4.267506e-01 7.336454e+01 4.975517e-01
 [321] 6.234994e+00 3.026609e+01 1.162377e+02 2.807290e+01 7.695794e+00
 [326] 1.780694e+01 5.646402e+00 1.877100e+02 1.502055e+01 2.476496e+02
 [331] 1.530531e+02 1.193882e+01 2.585762e+02 8.456670e+00 4.098674e+01
 [336] 3.399235e+02 5.447979e+00 3.898325e+00 3.773820e+00 3.247036e+01
 [341] 1.470874e+02 8.160353e+00 8.367463e+00 2.459289e+01 7.891074e-01
 [346] 7.907219e+01 9.905761e+01 1.575828e+01 9.787816e+00 2.601343e+00
 [351] 4.357604e+01 1.731230e+03 5.336820e+00 9.244847e+00 1.304545e+02
 [356] 8.504262e+00 3.850948e+01 4.184076e+02 8.027887e-01 4.364552e+01
 [361] 5.366422e+00 1.856597e+02 9.082636e+02 1.402025e+01 1.396178e+01
 [366] 2.787470e+02 7.208101e+02 1.467708e+00 1.246525e+01 2.111526e+02
 [371] 1.094594e+02 2.222481e+03 9.204398e+00 1.864169e+01 3.375632e+01
 [376] 1.980121e+01 6.647745e+02 1.492858e+01 2.445519e+01 1.936224e+00
 [381] 1.631364e+01 3.822427e+01 1.860236e+01 2.537960e+01 4.762709e+01
 [386] 1.010621e+01 2.071457e+01 4.893025e+00 2.695759e+01 3.608137e+01
 [391] 2.308528e+00 4.833329e+00 1.294474e+01 1.461066e+01 1.422774e+01
 [396] 5.359999e+01 1.292207e+01 6.836202e+00 4.566023e+01 5.957725e+00
 [401] 6.581755e+00 2.210706e+02 3.403880e+01 5.339334e+01 9.293425e+00
 [406] 1.911613e+01 1.286065e+03 2.254435e+01 2.209014e+01 1.507472e+01
 [411] 1.251671e+01 1.988453e+00 3.685204e+01 1.287141e+01 1.093818e+01
 [416] 3.674545e+03 6.308207e+01 6.214633e+01 2.260001e+02 5.130183e+01
 [421] 3.188266e+02 2.772477e+01 2.431066e+00 2.436896e+01 2.759894e+01
 [426] 7.083718e+02 3.497244e+02 1.206804e+00 9.924089e-02 3.521654e+00
 [431] 1.150606e+02 7.270524e+02 1.652112e+01 1.148592e+02 1.054677e+02
 [436] 2.942689e+01 6.329593e+01 7.400316e+01 3.367493e+00 7.607456e+01
 [441] 1.277540e+02 1.568679e+01 2.008601e+02 4.124568e+01 2.141080e+02
 [446] 1.385120e+00 1.547968e+01 2.645312e+01 3.653293e+01 4.084889e+00
 [451] 6.476480e+02 4.323904e+01 4.472102e+00 1.476624e+02 3.449641e+01
 [456] 1.636823e+01 1.379304e+03 3.023023e+00 5.418859e+00 6.971160e+00
 [461] 2.088616e+01 4.202085e+02 6.348216e+00 3.808680e+02 1.129699e+01
 [466] 4.740497e+00 1.085735e+03 1.386759e+02 7.664930e+01 4.468817e+00
 [471] 1.647534e+01 2.082149e+01 1.790956e+01 3.643877e+01 1.749058e+02
 [476] 6.759307e+00 1.120324e+02 2.187337e+01 4.940374e+00 1.200844e+01
 [481] 3.696149e+01 2.111665e+01 3.480534e+01 6.428220e+01 5.349279e+02
 [486] 1.332286e+00 4.464289e+01 1.902439e+01 3.257082e+02 1.832129e+02
 [491] 8.828177e+01 7.254785e+01 8.147324e+00 1.291761e+02 8.346995e+01
 [496] 5.276454e+01 4.296622e+02 2.070641e+01 4.781180e+00 9.548949e-01
 [501] 6.034167e+03 5.039247e+01 4.984740e+01 1.707115e+01 7.220290e+02
 [506] 5.417017e+01 8.801766e+00 7.299364e-01 2.051052e+01 6.436147e+01
 [511] 6.817713e+01 3.942027e+01 2.597114e+01 1.774695e+01 6.025092e+00
 [516] 4.462797e+02 3.341356e+01 2.850145e+01 4.200709e+01 3.853616e+02
 [521] 7.385462e+01 3.523484e+00 4.126339e+01 1.416076e+01 2.613886e+01
 [526] 1.252595e+02 2.386162e+02 3.259752e+01 1.420408e+01 9.594025e+00
 [531] 5.621066e+00 1.526531e+01 3.152829e+01 1.039462e+01 3.988317e+00
 [536] 1.725614e+00 6.437558e+01 2.548963e+00 1.010938e+02 2.430677e+01
 [541] 1.875309e-01 3.644641e+00 7.070394e+01 1.655039e+03 3.589073e+01
 [546] 5.539879e+00 8.611326e+00 3.834475e+01 4.955155e+01 6.608420e+01
 [551] 2.194384e+03 1.619770e+01 1.237363e+00 1.453725e+00 1.838755e+01
 [556] 1.909812e+01 3.260261e+00 1.096903e+01 8.992346e+02 7.861727e+00
 [561] 2.648284e+03 8.878385e+00 2.882547e+00 1.258862e+01 1.800375e+01
 [566] 5.828785e+01 1.061388e+01 5.083550e+01 4.317430e+00 5.688948e+01
 [571] 7.653510e+00 1.481634e+01 4.154252e+00 1.284084e+02 4.473938e+01
 [576] 1.267885e+02 1.394353e+02 4.541629e+01 2.208160e+02 1.717882e+01
 [581] 4.813298e+01 1.115016e+02 2.461636e+03 3.552135e+01 4.512945e+01
 [586] 3.224178e+02 2.314199e+03 7.441584e+01 1.718150e+01 7.730894e+00
 [591] 1.491609e+02 2.570497e+01 4.608783e+01 5.467350e+01 1.719758e+01
 [596] 2.339394e+03 1.865676e+01 3.933709e+01 1.681017e+01 2.474953e+01
 [601] 2.038647e+00 8.622968e+00 9.349561e-01 1.494945e+01 4.081990e+00
 [606] 3.870486e+01 5.598392e+01 1.328566e+01 2.362921e+00 7.207151e+02
 [611] 2.404093e+01 1.155983e+01 1.691743e+01 8.744722e+01 2.184190e+01
 [616] 3.590592e+00 1.779586e+01 3.657236e+01 5.686361e-01 3.520894e+01
 [621] 7.074108e+00 1.657094e+03 7.982109e-01 5.064677e+00 6.262093e+02
 [626] 2.870515e+01 8.303758e+03 2.762700e+01 1.624640e+00 5.921134e+01
 [631] 3.276042e+00 2.755666e+01 8.429071e+01 8.477740e+00 4.151988e+01
 [636] 3.294984e+01 7.767805e+00 9.200134e+01 4.587483e+00 2.493035e+02
 [641] 6.592578e+00 1.418503e+00 1.516791e+01 1.477287e+01 3.704645e+01
 [646] 8.721305e+00 2.189291e+03 8.191802e+00 3.825986e+01 6.158122e+00
 [651] 4.465405e+00 1.112642e+01 2.550888e+02 4.769829e+02 7.911194e-01
 [656] 4.186181e+01 6.345145e+01 4.752984e+01 5.210523e+01 4.813126e+01
 [661] 2.326664e+01 9.836598e-01 1.005972e+02 9.243633e+00 1.693193e+02
 [666] 1.977896e+01 8.723914e+02 2.454294e+01 8.505447e+02 2.920461e+01
 [671] 8.135723e+00 6.098300e-01 4.937127e+01 4.667080e+01 1.132762e+01
 [676] 2.021363e+02 4.837541e+01 8.330242e+01 5.109837e+01 7.086361e+00
 [681] 1.070431e+03 2.253453e+01 5.357319e+01 2.034128e+02 2.680907e+01
 [686] 2.082578e+00 4.358905e-01 3.398105e+00 4.768456e+01 7.962809e+00
 [691] 2.272725e+01 9.625162e+00 2.994760e+01 2.270480e+02 3.629022e+01
 [696] 3.106106e+00 3.407364e+00 2.340090e+01 5.792378e+01 9.269931e+01
 [701] 8.051592e+01 1.854167e+01 1.182170e+01 5.475539e+01 1.052476e+03
 [706] 1.359185e+00 4.670906e+01 1.231770e+00 1.387123e+02 6.509167e+00
 [711] 1.094845e+01 1.766438e+02 7.534465e+00 7.001628e+02 1.482143e+00
 [716] 1.189867e+02 1.142132e+01 3.969170e+01 2.647721e+01 5.905119e+01
 [721] 5.217631e+01 5.625584e+02 2.713808e+02 1.380951e+02 3.582926e+01
 [726] 1.217259e+01 1.888729e+01 1.608852e+01 1.022077e+01 5.687990e+00
 [731] 3.045977e+01 1.521110e+01 4.671596e+00 1.508738e+01 3.362849e+01
 [736] 1.791857e+02 3.884469e+01 4.577196e+00 1.163813e+01 1.169593e+01
 [741] 1.590407e+00 2.682489e+01 5.086659e+01 4.323861e+02 2.998765e+01
 [746] 1.412907e+01 6.281651e+01 4.529248e+01 8.888791e+01 2.857319e+01
 [751] 1.651180e+01 1.442846e+00 7.856340e+00 1.342881e+03 5.985258e+01
 [756] 6.481658e+01 6.345736e+01 2.198211e+02 1.806692e+01 1.654965e+01
 [761] 2.227622e+01 4.914569e+00 6.898792e+01 3.211385e+02 8.245563e+01
 [766] 5.120474e+00 7.605570e+01 2.788613e+00 1.607510e+01 9.120824e+00
 [771] 3.741119e+02 1.108389e+01 5.074355e+01 7.350055e+01 1.125730e+01
 [776] 1.522540e+01 5.082086e+01 1.102920e+03 3.635717e+03 2.231924e+01
 [781] 3.213401e+01 1.218229e+02 9.920556e+02 2.828775e+02 2.539100e+02
 [786] 3.950088e+01 3.609173e+01 1.488012e+01 2.980202e+01 1.712972e+01
 [791] 2.606150e+01 8.456681e+02 1.107403e+01 1.319336e+01 1.904563e+01
 [796] 6.345379e+01 1.103090e+01 4.615653e+00 2.543709e+03 1.388515e+02
 [801] 5.966949e+00 3.505461e+01 6.601499e+00 1.405929e+01 3.255605e+03
 [806] 4.090023e+01 1.073340e+02 1.042158e+00 4.322291e+02 3.901416e+03
 [811] 1.365471e+03 1.784239e+02 4.521865e+00 3.848364e+00 1.000524e+02
 [816] 5.266322e+02 3.358601e+01 1.775482e+03 2.670645e+00 1.835728e+01
 [821] 2.714096e+01 1.659378e+01 5.274773e+01 2.083232e+02 8.164395e+00
 [826] 2.221224e+01 1.147865e+03 5.327564e+01 9.659809e+00 7.095614e+02
 [831] 7.456669e+00 8.535633e+00 4.850388e+01 2.052778e+01 3.337394e+01
 [836] 1.056309e+02 6.113570e+02 8.082344e+02 2.649005e+01 2.459421e+01
 [841] 5.441385e+01 6.306201e+00 5.144326e+02 1.434452e+02 2.501009e+03
 [846] 8.082255e+01 2.144788e+00 5.280628e+00 2.490645e+01 7.498498e+00
 [851] 3.592747e+01 1.403750e+03 2.920938e+01 2.322363e+01 1.928410e+01
 [856] 8.073215e+01 4.882149e+00 1.235104e+01 1.419739e+01 1.049393e+01
 [861] 3.086542e+01 1.097193e+01 1.707247e+02 4.077078e+00 1.684567e+01
 [866] 7.252723e+01 2.675662e+02 1.608234e+03 5.818914e+00 2.136754e+01
 [871] 4.184882e+01 2.765468e+01 4.811521e+00 1.973192e+01 8.820572e+02
 [876] 1.113403e+02 1.707781e+01 4.101013e+01 1.000420e+01 8.824282e+01
 [881] 3.132175e+01 2.006091e+00 4.834129e+00 1.239695e+01 1.122761e+03
 [886] 9.592099e+01 1.984687e+01 9.505125e+01 8.594741e+02 1.246146e+00
 [891] 2.748681e+01 7.391627e+01 1.291077e+01 4.103934e+00 4.378285e+02
 [896] 1.726710e+02 1.947486e+02 5.697171e+00 8.932555e-01 5.065850e+01
 [901] 3.475932e+00 3.008331e+00 1.234760e+00 1.066036e+02 1.138437e+01
 [906] 3.315324e+01 1.385647e+00 3.185063e+00 5.606821e-01 5.980065e+01
 [911] 2.133715e+01 9.659963e+01 3.065999e+02 4.496987e+01 9.173046e+01
 [916] 5.654136e+00 6.748829e+01 7.425704e+00 2.906498e+01 1.067510e+01
 [921] 8.237936e+00 8.420145e+00 5.647139e+01 1.205118e+01 4.682776e+01
 [926] 1.210546e+01 9.600530e+00 2.481966e+01 1.274411e+01 3.174840e+01
 [931] 2.021779e+00 1.125853e+02 4.194707e+00 3.377161e+01 1.495028e-01
 [936] 3.580019e-01 1.762504e+01 5.056806e+01 2.029355e+02 9.389441e+00
 [941] 1.540601e+01 3.131130e+01 3.027188e+01 1.727118e+03 3.797137e+00
 [946] 1.645149e+01 9.112509e+01 1.367046e+03 6.341065e+02 5.818832e+00
 [951] 3.230614e+01 1.740642e+03 4.066555e+00 7.391655e+00 5.243520e+00
 [956] 1.198822e+01 1.180793e+01 5.012309e+01 6.731854e+00 5.673616e+00
 [961] 1.591551e+01 4.499119e+00 2.181338e+02 2.135720e+02 2.627566e+00
 [966] 2.074161e+00 7.012194e+00 1.746757e+01 9.566916e+00 6.818406e+01
 [971] 3.188648e+01 1.217066e+02 1.823184e+01 1.400848e+01 4.329180e+00
 [976] 8.781575e+01 2.389950e+01 1.549799e+01 4.544346e+02 1.803696e+01
 [981] 5.983288e+00 2.686368e+01 2.532056e+02 8.538412e+01 4.387176e+02
 [986] 2.030361e+01 1.980926e+01 1.042166e+03 1.009552e+03 4.129851e+00
 [991] 1.168747e+01 4.773220e+00 1.213882e+03 2.578756e+00 2.440299e+01
 [996] 8.674346e+00 2.158236e+00 1.905446e+01 1.296495e+01 3.909330e+01

boutnt> ## 'rndproc2' is a random sample vector from the example
boutnt> xbouts2 <- boutfreqs(rndprocs2, 5)  # Bouts class result

boutnt> (startval2 <- boutinit(xbouts2, 80))
          [2.54,80]     (80,948]
a      4.069680e+03 1.350131e+03
lambda 3.938513e-02 4.387283e-03

boutnt> ## 3-process
boutnt> ## 'rndproc3' is a random sample vector from the example
boutnt> xbouts3 <- boutfreqs(rndprocs3, 5)

boutnt> (startval3 <- boutinit(xbouts3, c(75, 220)))
          [2.55,75]     (75,220] (220,8.3e+03]
a      3.861946e+03 1.549852e+03  1.140873e+03
lambda 3.620585e-02 1.115144e-02  9.094169e-04
> 
> ## 2-process
> opts0 <- list(method="L-BFGS-B", lower=c(-2, -5, -10))
> opts1 <- list(method="L-BFGS-B", lower=c(1e-1, 1e-3, 1e-6))
> bouts2.fit <- fitMLEbouts(xbouts2, start=startval2, optim_opts0=opts0,
+                           optim_opts1=opts1)
Error in mle(function (p, lambda0, lambda1)  : 
  'start' must be a named list
Calls: fitMLEbouts ... fitMLEbouts -> fitMLEbouts -> .local -> do.call -> mle
Execution halted
** running examples for arch 'x64' ... ERROR
Running examples in 'diveMove-Ex.R' failed
The error most likely occurred in:

> ### Name: fitMLEbouts,numeric-method
> ### Title: Maximum Likelihood Model of mixtures of 2 or 3 Poisson Processes
> ### Aliases: fitMLEbouts,numeric-method fitMLEbouts
> ###   fitMLEbouts,Bouts-method
> ### Keywords: manip methods models
> 
> ### ** Examples
> 
> ## Run example to retrieve random samples for two- and three-process
> ## Poisson mixtures with known parameters as 'Bouts' objects
> ## ('xbouts2', and 'xbouts3'), as well as starting values from
> ## broken-stick model ('startval2' and 'startval3')
> utils::example("boutinit", package="diveMove", ask=FALSE)

boutnt> ## 2-process
boutnt> utils::example("rmixexp", package="diveMove", ask=FALSE)

rmixxp> ## Draw samples from a mixture where the first process occurs with
rmixxp> ## p < 0.7, and the second process occurs with the remaining
rmixxp> ## probability.
rmixxp> p <- 0.7

rmixxp> lda <- c(0.05, 0.005)

rmixxp> (rndprocs2 <- rmixexp(1000, p, lda))
   [1]   1.23235172   7.39443616  24.52561511   5.42041863   0.18020132
   [6]  31.39302209 135.72156318   6.17779901   1.17725586   4.11015204
  [11]  28.94059278  15.13581622 106.36562440  12.78407286 356.71755856
  [16]  13.72322208 343.99833901 105.60777402   0.75752350 156.77767879
  [21] 213.19194472   8.20301360   3.66141205  18.52611353   5.83367535
  [26]  39.13407430  22.43737442   0.52072329  21.16421849  33.80405977
  [31]   4.57387436   0.06545776  37.82490931  26.48013182  32.95521876
  [36]  18.57726881 145.01201135   1.39446919 260.76784468  33.84446584
  [41] 100.87630628  26.10191978  22.78107740  47.24300105  53.77219899
  [46] 338.39107527   1.26255605   2.22908690  30.60534362 111.58049076
  [51]   4.76770413 260.63417382   7.01301342  74.57450203  20.88860163
  [56]  23.01749172   5.55023879  56.51694402   7.84770354  12.62256699
  [61]   2.96914140  47.31892543  17.21599056  17.83419382   8.17915286
  [66]  10.86699792  90.82049592  35.17959539  26.74601322 434.18275754
  [71]  27.68347198  31.68862781   7.61114744  88.41393031   7.44523577
  [76] 116.66983841   2.99739549  18.50904353  94.88491090 182.40163083
  [81]  10.98834807 483.95552329  13.31672699  10.33692620  38.59998200
  [86]  15.62420247 202.56409663   1.52295461  26.34895110  16.31668597
  [91]   6.38200054  12.64222019  27.55769119 333.36175902 169.51753794
  [96] 120.85160334  34.00519632  11.59170941   9.68598798  19.46574382
 [101]  15.87711064  12.07592153  54.87664882 135.24890663  46.95295039
 [106]   8.70256268   3.45362257  81.13640170 294.17519842  48.57458267
 [111] 164.69495594  26.63298352  20.14632780   5.23053734  15.72317302
 [116]   7.49320624 296.44575937  12.40843087  10.50418768  20.19381301
 [121] 453.96161710   5.86516300  11.59656446  28.29349145 213.90315927
 [126]  19.22559003  35.56869417  31.70517720   4.52796916  71.38618301
 [131]  42.74418581  11.15356166   2.87245930  20.37330963 102.62406430
 [136]  28.35976639   9.65572100   9.33267157  97.89409889  15.63497136
 [141]   9.44686141  43.10727831  16.32694919  26.79235831   5.38805278
 [146]   3.50911109  70.67643662  52.11631544  12.74007338 218.66276655
 [151]  29.16327521  47.49071192  21.89840875   4.35621714  73.05412005
 [156]  58.83680924   5.57379089  26.04986442   8.08360410  25.79610083
 [161]   0.07833291 591.14974883  17.70100240 129.63195660 117.03814566
 [166]  10.19108771  42.69815247  29.40665189 471.70871096  36.93596847
 [171]  23.82816113   2.48347092  10.62527823  10.17068890  18.23084567
 [176]  89.52386258  33.18038531   8.02320227  33.06594072  93.81923224
 [181]  34.13429033  12.11469717  84.79737258   0.10389729 232.02598075
 [186]   9.67868621 104.83495621 147.20780346 142.57814120   7.15363240
 [191] 146.33002163  12.06893255  14.30834279 237.11045384  14.15332992
 [196]  40.54416485   1.05872038   6.32955041   4.01220778 138.85710185
 [201]   0.03855076   6.78418824   7.79428427  11.30041257  29.96954251
 [206]  33.84519558  10.38171641  15.31179950  13.42195589 205.78892565
 [211] 396.48957400   7.78181906 342.66489258 452.57280057 599.22935065
 [216]  13.84080866  23.74679940  12.52070187 101.72909442   4.23563252
 [221]   1.13651186   3.87805536  43.31654554  17.78045598 340.83429611
 [226]  44.82388507  36.66777686  45.86882014  35.35931475 310.33144480
 [231]  25.21503836  35.50826405  53.19181908  33.15253384  11.91450299
 [236]  42.08150923  18.99640480   2.27557097  22.22257685  30.64881708
 [241]   2.68541851  20.59083624 451.35724903  13.25279717  11.32895666
 [246]   2.06537092   3.62704340  12.95850403   5.27541461 142.03699629
 [251] 201.67593825 371.20169195   1.03733215   2.30746656  27.82704194
 [256]  16.20890718   9.75131424   5.27304960  36.70581515 241.02848246
 [261]  20.71689541  67.64954894  28.62536572 335.56017799 502.13841980
 [266]  26.15207067  42.02398855  24.80236897  20.78487225   1.62569124
 [271]   5.36330615  24.63787092   9.43561374  14.16670887  26.35071397
 [276]  84.70879321  23.58507546  12.23662217  83.46014119 134.60482368
 [281]  24.01007796  24.68282627  65.94245159   3.60317984   7.50799338
 [286]  16.88529095   3.59610969  19.57010822  34.06873755   8.58910901
 [291]   1.12663005  28.61909971 122.45814474  41.89085209  22.77308030
 [296]   9.29120200  18.87278696  18.46260544  30.76991398 179.36603780
 [301]  33.74217473  13.57886313   6.57229909  29.94465612  19.93348872
 [306] 132.57208755  12.90156418 316.29874481  27.56531877  19.61602815
 [311]   7.59568647   8.67683508 948.68336687 596.62621465  50.66960338
 [316]  25.76886101   6.16766005   8.45880958 344.06903273   1.23636019
 [321]   2.88986855   6.91443307  12.22349599 148.73238305 395.45536226
 [326]  13.83590344 553.68731951 245.82544993   9.90823698  78.31639918
 [331] 530.74197878   4.46127173  76.09904300  59.88489967   5.37122748
 [336]  11.72284408  26.35866834  14.13085602  27.40726273 240.14289984
 [341] 536.06401940  13.30363348  21.76137713   3.93401933   9.58425991
 [346]  44.22645505   1.84960187   4.01632130  28.99965346   3.72493491
 [351]  23.22693622 124.74211424 661.58885058   5.72582409  65.84820910
 [356]   6.31344268 338.57159836  52.05102961  33.25431404   4.84714469
 [361]   3.10077201  10.79265862   6.07101388   9.04216220  12.54546350
 [366] 227.78754643  50.67550156  29.86211618   6.18921654  12.88819105
 [371]  24.26567401  29.09479715 341.76885836  11.36559786   2.67604630
 [376]   4.61908645  11.79201160 195.82617436  31.98954034  12.29843382
 [381]  15.39187767 101.17771599  28.79636512 298.92056843  65.86750239
 [386]  57.15985343  24.79684360 156.40780948  18.50787146  80.49857337
 [391]  13.62139659   4.46425084 624.06659421   7.68690680  10.65319792
 [396]  52.58444506   9.92065950   0.10630931  26.42019626  11.55053559
 [401]   1.23880534  63.41971174   5.97349526 662.28944060 501.31591668
 [406]  75.33020861  57.74843603 243.88994227  24.45994496  46.22192755
 [411] 214.61875643   1.29115096 146.63672167  29.14424893   7.83073570
 [416]  54.26522936  20.13029208   1.09481466  17.59342923  58.72787943
 [421]   3.97136632   3.25513272  14.36589517  12.23130825  54.10751920
 [426]   4.75100009   8.18935080 315.00036156  16.89427995   2.66160616
 [431]  45.02308344   7.79927064  39.47700362   4.75958540  28.07556237
 [436]  55.26277786 647.92595535   9.80915839  41.71178777  53.51545727
 [441]  23.68301442  16.08054753  35.32724734  40.31966984  30.08394190
 [446]   1.17986417  24.08836802  17.33740782  11.48043704  19.48802583
 [451] 135.21540733   2.95894817   5.64466009  12.24541335   0.81267969
 [456]   7.87531153  64.04154047 102.74172677   3.66694899   0.40561852
 [461]  14.21619867   3.69621989  47.37106699  20.27426869   4.25142098
 [466]  29.51655900  38.79535375   2.80068550  28.23404425   5.02331260
 [471]  18.81099054 354.78214881 204.49046738   3.51599762   2.90149517
 [476]   6.19670963  55.01458931  24.33312403  34.94001202  28.88355610
 [481] 386.12929767  45.49132529  42.00640321 308.99081789  25.13695795
 [486]  21.69541668   1.55319205  37.58573841  98.21740920   6.85816309
 [491]  35.85430112  41.19785847   0.25485043  36.42841399  17.81423468
 [496]  16.02006851  60.37757425   4.17091321 156.87675302  23.21009438
 [501]  31.85793441  28.42724650   3.75973187  32.24599097  10.51122900
 [506]  24.12125997  19.60269619  32.93077471 442.87192260   2.82576052
 [511]  24.27090025  23.72326286  14.54050617  58.33688357 101.86601905
 [516]  26.83440797   0.57667328   1.69138874   1.02083882   0.90648809
 [521] 282.72248021 163.24980123  43.76465311  25.29746776   8.79663405
 [526] 573.20987579 127.99747242  75.05446505 139.75894759 275.51435082
 [531]  11.47827632   3.82368491   7.25417920  49.66000180  14.35190206
 [536]  22.39127323  30.15215865  10.02060936  21.65844742  12.27497937
 [541]  14.00408186  37.18542159  32.72040456  35.75143147  33.10992846
 [546]   1.68915880 102.11516824  18.72501032  74.74237632  72.91322453
 [551] 148.92181024  23.56921170  18.23219251  33.95632096  46.76983425
 [556]   2.67634435  27.12414214  13.30642659 323.19101317  63.45961727
 [561] 125.79574551  19.49901789   0.17401473 345.47004280  51.05364723
 [566] 107.56264064  16.73126351   0.94649235  47.27150595 938.53036722
 [571]  47.17360306  23.09653148  23.23097598  12.40232229 467.65631994
 [576]  34.75219779  58.96076262  27.74478907 298.02036523  59.23886448
 [581]  17.87861495 169.13049965   1.03058085  46.49195712   7.14215341
 [586]  36.83784187   1.19217820  12.06715316 189.17919285  76.50936469
 [591]  10.92178090  14.80643421  71.50406120   2.87523474 341.17527600
 [596]  11.30885428 143.42113457  10.02493520  13.22929750  19.03664252
 [601]  84.81326401 139.99867550  18.61074347  78.38193886 277.10595372
 [606]  74.08355910  13.82175914  24.02527001 342.92875787  38.00557181
 [611]  46.78788310  43.69129549  31.09183541  12.01801138 150.03786300
 [616]   3.33806550  44.10450939   1.10650623  14.53101787  11.65084860
 [621]  39.54747347  70.78757215  80.17729472  13.63591071  19.97493768
 [626]  17.40675539  12.91591919  27.01073758  89.21599246 689.93143138
 [631]  92.14815255  45.07521387  44.10295132  54.86878688  26.92741329
 [636]  14.97539452  11.76284076  50.74001986  15.99751782  29.52676054
 [641]  65.39043803   1.64088339 112.21445892  42.57385920 113.51003693
 [646]  46.59819265   1.45866031 327.44536100  14.78900131 109.51654706
 [651]   3.79036282 521.09380176  33.08075663   8.04362860  15.39756171
 [656]  17.60934871   2.50661169  21.47706460  29.79002797 123.92275101
 [661]  90.44970847  69.99582248   5.65731155  12.31405255  68.90356496
 [666]   6.89624861 399.21408890   7.23989277   1.89216735   4.38310961
 [671] 185.17583328  33.97567358  24.54721476   7.40418867  10.83924429
 [676]  57.56909623   2.34641124  51.10296388   2.41399041   3.02304179
 [681]   6.70006201  63.21943291   3.53586321  47.16469642  32.70768776
 [686]   4.08618845   7.47324261  25.92907669  25.61023449  36.77077029
 [691]  36.71322707   4.80562589 136.83457673  89.11092974  28.40039353
 [696]   3.04113998 873.36748610  46.93746935 106.98034065  56.75600230
 [701] 109.98082571 253.79714015 113.92690344  56.78444370  23.15506985
 [706]  40.95603760   6.11516557  12.15472466 342.27211623 407.04857184
 [711] 217.49877817  15.29327684  53.77376135  23.41373268   0.74284533
 [716]  55.90196620  26.93881599   8.43218926  19.12676875 111.98733700
 [721]   3.83416469   6.11499767 101.88961411  35.48255274  23.21478926
 [726]   3.75641044  30.80254540  15.19530646  35.53723324   4.74742490
 [731] 165.61318039   9.90153933  25.14007790   2.61543982  53.33273159
 [736]  10.55696672  32.16143083 232.86781049   0.38448496  14.11623248
 [741]  12.37598236   1.71253206   7.61088710   5.95088503  50.85129235
 [746]   3.82278339   1.78357379  55.72509808  23.10474364   2.91319910
 [751]  50.69974913 333.38869473  15.78803199   8.70885342  20.53662931
 [756]   1.17709536   3.73994995  10.39556048 608.57156512   5.24719809
 [761] 349.81856084   8.29026343 150.40725581  47.29201343   8.52829078
 [766]  10.03256489  34.96197130 296.23104391  63.86132529 145.51815677
 [771]  13.71869981 144.82188327  21.90150548 306.27717759  17.84934707
 [776]   1.44215327  10.34678194 270.41646465  27.81902818 138.71090560
 [781] 319.96796638  23.29255478 379.49015720  38.37472267   1.39277522
 [786]  47.54472006  11.78786202   2.85388920   1.59915539  33.48466281
 [791]  20.67529038   3.42267334 104.45584072   6.06192624  75.91204624
 [796]  52.27011967   6.32474610  11.46975444 398.90168308  18.87919966
 [801]  11.90472376  37.00579718  12.96225647 217.12030470   0.40992647
 [806]  11.68782745  17.83179685 754.58535108  11.19657428  16.30085664
 [811]  47.21681583  46.27879377  18.83350735 194.67469307  17.56245903
 [816]  38.93053520  35.61789915  16.74674386  65.24224564 138.72042526
 [821]   1.32723464  11.08961484 740.56841244 461.66567257  78.67066786
 [826]  22.15208780  26.35726904  18.50533551   9.56915818 103.15137718
 [831]  11.97427134  51.39687748  24.57685632 338.50318080   1.08675206
 [836]   0.21956433  24.26817831  94.77775330 162.26011793   6.25135488
 [841] 111.89044109   8.88210023   3.81285516  25.61847359   2.36738315
 [846]   3.02267440   4.66836757   7.61926696 322.77925981   1.91313262
 [851] 584.59272679 222.64315597  24.17862987  45.91067927   0.24757762
 [856]  20.89935426  20.19331586  29.31881538  67.90620237  25.93998261
 [861]  14.71342711  34.71783664  56.18071763  11.78430361  55.71910351
 [866]   1.73139220  71.83892082  11.06679592 102.92059733  90.18091715
 [871]  12.71656328  58.54455524 273.08945655  19.83609162  10.63148904
 [876]   8.18622053   0.77431278   9.44608540  80.08615708  26.33570042
 [881]  23.23698409  22.76868382  37.73917557  70.39826503   4.11257827
 [886]  75.21352778  46.51207440   4.19365738   5.81656239  12.01905333
 [891]  23.58901052  28.26454934   6.06534259  11.98033493  34.36339333
 [896]  20.24227288   3.57087760  17.69923257  10.74505137  17.22688227
 [901] 174.77711587  19.33405631  12.06902835  20.68679342   1.89203711
 [906]  67.84458324   7.40739341   1.04066274  24.69506074  28.40872088
 [911]   1.10171362 226.70906297   0.64265991  33.70342523   3.21495171
 [916]  50.63390407   6.24396645 224.63470268 281.49469469 193.96210119
 [921]   1.36915804  10.40762495 450.56166833   5.86482932 141.19490288
 [926] 384.68898757 246.07505257  18.45785754   1.13165013   9.12902727
 [931]   1.83014765  43.38750225   1.31295479  16.31832004 359.75345707
 [936]  61.21831127 324.27471388   6.90012565  94.71189557  31.95842076
 [941]  39.04109590  38.06225214  13.59424198  30.74280973  10.28201485
 [946]  22.67041910  33.98204513 264.20498434  20.37007886  48.23482875
 [951]  11.70163972   9.35182147  10.06881358   9.78254369   5.19806494
 [956]  14.65986870 156.53418277   0.50377508   2.69656237  26.00040523
 [961]  19.45420689  14.68301985  12.89534089   4.19195105   6.85038244
 [966]  22.57696691   9.53407586 139.05849735 140.72283739 199.95594862
 [971]  68.85280488   9.93765215  21.25778390 162.83729839   9.49512456
 [976]   5.07877583   5.34166825  35.85298163  34.69930462  73.27907672
 [981]  48.90687140  31.55731827  35.64860951   2.46978331  30.35986312
 [986]  53.39126717  17.09105994  31.87092362 396.77952824   0.45707795
 [991]  31.87068865   3.10593053  20.70858680  24.50397480   3.39312843
 [996]  12.52153113  39.26755728  22.89595526  37.79102892  10.74983870

rmixxp> ## 3-process
rmixxp> p_f <- 0.6    # fast to slow

rmixxp> p_svs <- 0.7  # prop of slow to (slow + very slow) procs

rmixxp> p_true <- c(p_f, p_svs)

rmixxp> lda_true <- c(0.05, 0.01, 8e-4)

rmixxp> (rndprocs3 <- rmixexp(1000, p_true, lda_true))
   [1] 1.636879e+01 1.168547e+01 5.727896e+02 1.361505e+01 1.492805e+01
   [6] 3.894625e+01 4.219915e+00 1.317828e+01 3.279384e+01 1.288953e+01
  [11] 1.437416e+01 4.212292e+01 3.830252e+00 2.198537e+01 1.068208e+01
  [16] 4.760101e+00 1.738753e+01 1.646667e+01 6.876865e+01 3.017594e+01
  [21] 3.225499e+00 1.230965e+01 5.712338e+01 1.012069e+01 8.403804e+01
  [26] 9.138772e+00 1.175945e+02 1.873955e+02 1.105653e+02 6.975133e+00
  [31] 1.282795e+01 1.108896e+02 2.707522e+01 7.022047e+00 2.796125e+01
  [36] 9.702391e+01 6.389268e+00 3.402486e+01 1.436688e+01 1.614905e+01
  [41] 3.008368e+01 9.603834e+00 9.583668e+01 5.253444e+01 2.422525e-01
  [46] 7.025634e+02 1.456073e+01 6.247050e+02 5.800990e+00 2.016964e+00
  [51] 1.787990e+01 2.500248e+01 1.035390e+02 4.280734e+01 2.762872e+01
  [56] 7.331686e+01 7.851863e+01 6.840130e+01 9.351063e+01 1.002579e+02
  [61] 1.692306e+01 3.634488e+00 3.487736e-01 1.133370e+01 2.208065e+03
  [66] 1.915109e+01 3.943642e+01 2.236978e+00 2.823103e-01 4.464291e+01
  [71] 2.379794e+01 1.622908e+01 2.404874e+00 8.471348e+00 8.889192e+02
  [76] 2.022567e+01 1.078574e+02 1.067291e+01 8.291542e+01 9.930199e+00
  [81] 4.510694e+00 5.120572e-01 1.150789e+01 3.158661e+00 4.944444e+02
  [86] 4.368550e+02 2.159005e+02 9.038838e+00 2.333803e+02 1.031960e+02
  [91] 2.245032e+01 3.273962e+01 3.929666e+01 8.286894e+01 2.231185e+02
  [96] 3.273303e+00 4.168283e+00 3.914496e-01 3.990569e+02 1.618102e+01
 [101] 1.989747e+01 6.103124e+01 2.081585e+01 1.443994e+00 1.710211e+01
 [106] 1.091767e+01 1.513582e+01 1.757345e+00 3.086051e+01 2.247051e+01
 [111] 2.757771e+00 7.956489e+01 7.101454e+00 1.457501e+02 2.393467e+01
 [116] 1.367667e+01 1.544813e+00 1.589624e+01 3.681539e+01 2.644252e+01
 [121] 8.403743e+01 1.145191e+01 1.294328e+01 1.508407e+01 6.544260e+01
 [126] 9.920094e+01 5.076547e-01 1.285642e+02 1.538538e+01 1.521254e+01
 [131] 1.924507e+01 3.032309e+00 6.540322e+00 7.283783e+02 4.479351e+01
 [136] 1.486372e+01 3.650900e+00 5.017756e-02 6.981192e+00 3.965231e+01
 [141] 4.590557e+00 3.135120e+01 7.583459e+01 3.379038e+02 1.247410e+01
 [146] 2.681761e+01 3.578058e+00 5.970908e+01 1.053269e+03 1.790837e+01
 [151] 1.037392e+01 1.994890e+02 5.139214e+00 1.724095e+01 2.837676e+01
 [156] 1.253137e+02 5.708383e+01 2.099505e+02 1.257118e+01 2.891236e+00
 [161] 2.930115e+01 4.250603e-01 2.664157e+02 6.796347e+00 1.642791e+01
 [166] 7.634139e+00 3.018546e+01 1.754475e+01 1.100939e+01 1.870254e+02
 [171] 1.567602e+03 1.839117e+00 8.478833e+00 5.770892e+00 3.242565e+01
 [176] 9.464497e+01 4.790417e+01 3.818601e+00 4.344243e+01 1.242369e+01
 [181] 4.714257e+01 3.248092e+01 2.156180e+02 7.015776e+01 1.648538e+03
 [186] 2.679517e+01 3.069350e+00 1.365831e+00 8.300527e+01 1.204300e+01
 [191] 1.327179e+01 3.596771e+01 2.714610e+01 1.335543e+03 1.100807e+03
 [196] 8.053340e+02 1.759712e-01 9.104714e+01 3.584671e+01 1.389366e+02
 [201] 2.406537e+01 4.290093e+02 3.776884e+01 1.189756e+01 3.809743e+02
 [206] 1.522345e+03 3.964275e+01 7.550632e+00 1.103272e+03 2.904356e+01
 [211] 2.630351e+00 7.091364e+01 3.970651e+01 2.726965e+01 4.060686e+01
 [216] 1.202033e+02 4.605338e+01 3.092173e+01 2.143678e+00 3.234851e+01
 [221] 9.425900e+00 1.497481e+03 5.513778e+01 1.843432e+01 1.148393e+01
 [226] 1.912271e+02 1.165839e+02 5.738232e-01 1.317025e+01 2.494694e+03
 [231] 1.714946e+01 5.844127e+00 1.129539e+01 8.491537e+01 2.065267e+01
 [236] 4.590436e+03 6.378785e+01 1.108825e+01 1.576874e+02 6.007586e+01
 [241] 5.579493e+01 7.260517e+01 3.206938e+01 5.320842e+01 1.141265e+02
 [246] 3.832619e+01 1.729607e+01 4.086757e+01 6.655791e+01 2.163886e+02
 [251] 5.582911e+01 1.832382e+01 2.638297e+01 2.729063e+01 3.119703e+02
 [256] 1.744305e+01 4.430698e+03 5.501100e+00 1.118894e+01 6.219737e+00
 [261] 1.035366e+01 8.435488e+00 7.749319e-01 3.148183e+01 7.933687e+01
 [266] 3.624276e+01 7.844075e+01 7.316398e+01 4.876699e+00 2.330945e+02
 [271] 6.398285e+00 5.733193e+02 2.763063e+03 1.908485e+01 5.064416e+01
 [276] 3.197058e+02 7.091798e+01 2.080823e+01 2.350497e+01 1.737829e+02
 [281] 4.007229e+02 1.967292e+01 1.867645e+03 4.878656e+01 1.466652e+01
 [286] 2.468646e+01 3.297368e+00 2.933968e+02 2.313035e+01 1.426927e+01
 [291] 1.950101e+01 3.289785e+01 2.098547e+01 1.230117e+01 8.975205e+00
 [296] 5.783810e+00 2.624158e+01 1.202947e+02 9.969642e+02 7.621740e+00
 [301] 1.764299e+01 3.413469e+01 6.221966e+01 1.619572e+01 1.028745e+02
 [306] 1.304884e+02 1.754104e+01 1.436718e+01 5.052653e+01 2.108924e+03
 [311] 5.355508e+00 3.114175e+00 6.861446e+01 4.396551e+01 2.675377e+01
 [316] 2.441947e+01 8.680331e+01 4.267506e-01 7.336454e+01 4.975517e-01
 [321] 6.234994e+00 3.026609e+01 1.162377e+02 2.807290e+01 7.695794e+00
 [326] 1.780694e+01 5.646402e+00 1.877100e+02 1.502055e+01 2.476496e+02
 [331] 1.530531e+02 1.193882e+01 2.585762e+02 8.456670e+00 4.098674e+01
 [336] 3.399235e+02 5.447979e+00 3.898325e+00 3.773820e+00 3.247036e+01
 [341] 1.470874e+02 8.160353e+00 8.367463e+00 2.459289e+01 7.891074e-01
 [346] 7.907219e+01 9.905761e+01 1.575828e+01 9.787816e+00 2.601343e+00
 [351] 4.357604e+01 1.731230e+03 5.336820e+00 9.244847e+00 1.304545e+02
 [356] 8.504262e+00 3.850948e+01 4.184076e+02 8.027887e-01 4.364552e+01
 [361] 5.366422e+00 1.856597e+02 9.082636e+02 1.402025e+01 1.396178e+01
 [366] 2.787470e+02 7.208101e+02 1.467708e+00 1.246525e+01 2.111526e+02
 [371] 1.094594e+02 2.222481e+03 9.204398e+00 1.864169e+01 3.375632e+01
 [376] 1.980121e+01 6.647745e+02 1.492858e+01 2.445519e+01 1.936224e+00
 [381] 1.631364e+01 3.822427e+01 1.860236e+01 2.537960e+01 4.762709e+01
 [386] 1.010621e+01 2.071457e+01 4.893025e+00 2.695759e+01 3.608137e+01
 [391] 2.308528e+00 4.833329e+00 1.294474e+01 1.461066e+01 1.422774e+01
 [396] 5.359999e+01 1.292207e+01 6.836202e+00 4.566023e+01 5.957725e+00
 [401] 6.581755e+00 2.210706e+02 3.403880e+01 5.339334e+01 9.293425e+00
 [406] 1.911613e+01 1.286065e+03 2.254435e+01 2.209014e+01 1.507472e+01
 [411] 1.251671e+01 1.988453e+00 3.685204e+01 1.287141e+01 1.093818e+01
 [416] 3.674545e+03 6.308207e+01 6.214633e+01 2.260001e+02 5.130183e+01
 [421] 3.188266e+02 2.772477e+01 2.431066e+00 2.436896e+01 2.759894e+01
 [426] 7.083718e+02 3.497244e+02 1.206804e+00 9.924089e-02 3.521654e+00
 [431] 1.150606e+02 7.270524e+02 1.652112e+01 1.148592e+02 1.054677e+02
 [436] 2.942689e+01 6.329593e+01 7.400316e+01 3.367493e+00 7.607456e+01
 [441] 1.277540e+02 1.568679e+01 2.008601e+02 4.124568e+01 2.141080e+02
 [446] 1.385120e+00 1.547968e+01 2.645312e+01 3.653293e+01 4.084889e+00
 [451] 6.476480e+02 4.323904e+01 4.472102e+00 1.476624e+02 3.449641e+01
 [456] 1.636823e+01 1.379304e+03 3.023023e+00 5.418859e+00 6.971160e+00
 [461] 2.088616e+01 4.202085e+02 6.348216e+00 3.808680e+02 1.129699e+01
 [466] 4.740497e+00 1.085735e+03 1.386759e+02 7.664930e+01 4.468817e+00
 [471] 1.647534e+01 2.082149e+01 1.790956e+01 3.643877e+01 1.749058e+02
 [476] 6.759307e+00 1.120324e+02 2.187337e+01 4.940374e+00 1.200844e+01
 [481] 3.696149e+01 2.111665e+01 3.480534e+01 6.428220e+01 5.349279e+02
 [486] 1.332286e+00 4.464289e+01 1.902439e+01 3.257082e+02 1.832129e+02
 [491] 8.828177e+01 7.254785e+01 8.147324e+00 1.291761e+02 8.346995e+01
 [496] 5.276454e+01 4.296622e+02 2.070641e+01 4.781180e+00 9.548949e-01
 [501] 6.034167e+03 5.039247e+01 4.984740e+01 1.707115e+01 7.220290e+02
 [506] 5.417017e+01 8.801766e+00 7.299364e-01 2.051052e+01 6.436147e+01
 [511] 6.817713e+01 3.942027e+01 2.597114e+01 1.774695e+01 6.025092e+00
 [516] 4.462797e+02 3.341356e+01 2.850145e+01 4.200709e+01 3.853616e+02
 [521] 7.385462e+01 3.523484e+00 4.126339e+01 1.416076e+01 2.613886e+01
 [526] 1.252595e+02 2.386162e+02 3.259752e+01 1.420408e+01 9.594025e+00
 [531] 5.621066e+00 1.526531e+01 3.152829e+01 1.039462e+01 3.988317e+00
 [536] 1.725614e+00 6.437558e+01 2.548963e+00 1.010938e+02 2.430677e+01
 [541] 1.875309e-01 3.644641e+00 7.070394e+01 1.655039e+03 3.589073e+01
 [546] 5.539879e+00 8.611326e+00 3.834475e+01 4.955155e+01 6.608420e+01
 [551] 2.194384e+03 1.619770e+01 1.237363e+00 1.453725e+00 1.838755e+01
 [556] 1.909812e+01 3.260261e+00 1.096903e+01 8.992346e+02 7.861727e+00
 [561] 2.648284e+03 8.878385e+00 2.882547e+00 1.258862e+01 1.800375e+01
 [566] 5.828785e+01 1.061388e+01 5.083550e+01 4.317430e+00 5.688948e+01
 [571] 7.653510e+00 1.481634e+01 4.154252e+00 1.284084e+02 4.473938e+01
 [576] 1.267885e+02 1.394353e+02 4.541629e+01 2.208160e+02 1.717882e+01
 [581] 4.813298e+01 1.115016e+02 2.461636e+03 3.552135e+01 4.512945e+01
 [586] 3.224178e+02 2.314199e+03 7.441584e+01 1.718150e+01 7.730894e+00
 [591] 1.491609e+02 2.570497e+01 4.608783e+01 5.467350e+01 1.719758e+01
 [596] 2.339394e+03 1.865676e+01 3.933709e+01 1.681017e+01 2.474953e+01
 [601] 2.038647e+00 8.622968e+00 9.349561e-01 1.494945e+01 4.081990e+00
 [606] 3.870486e+01 5.598392e+01 1.328566e+01 2.362921e+00 7.207151e+02
 [611] 2.404093e+01 1.155983e+01 1.691743e+01 8.744722e+01 2.184190e+01
 [616] 3.590592e+00 1.779586e+01 3.657236e+01 5.686361e-01 3.520894e+01
 [621] 7.074108e+00 1.657094e+03 7.982109e-01 5.064677e+00 6.262093e+02
 [626] 2.870515e+01 8.303758e+03 2.762700e+01 1.624640e+00 5.921134e+01
 [631] 3.276042e+00 2.755666e+01 8.429071e+01 8.477740e+00 4.151988e+01
 [636] 3.294984e+01 7.767805e+00 9.200134e+01 4.587483e+00 2.493035e+02
 [641] 6.592578e+00 1.418503e+00 1.516791e+01 1.477287e+01 3.704645e+01
 [646] 8.721305e+00 2.189291e+03 8.191802e+00 3.825986e+01 6.158122e+00
 [651] 4.465405e+00 1.112642e+01 2.550888e+02 4.769829e+02 7.911194e-01
 [656] 4.186181e+01 6.345145e+01 4.752984e+01 5.210523e+01 4.813126e+01
 [661] 2.326664e+01 9.836598e-01 1.005972e+02 9.243633e+00 1.693193e+02
 [666] 1.977896e+01 8.723914e+02 2.454294e+01 8.505447e+02 2.920461e+01
 [671] 8.135723e+00 6.098300e-01 4.937127e+01 4.667080e+01 1.132762e+01
 [676] 2.021363e+02 4.837541e+01 8.330242e+01 5.109837e+01 7.086361e+00
 [681] 1.070431e+03 2.253453e+01 5.357319e+01 2.034128e+02 2.680907e+01
 [686] 2.082578e+00 4.358905e-01 3.398105e+00 4.768456e+01 7.962809e+00
 [691] 2.272725e+01 9.625162e+00 2.994760e+01 2.270480e+02 3.629022e+01
 [696] 3.106106e+00 3.407364e+00 2.340090e+01 5.792378e+01 9.269931e+01
 [701] 8.051592e+01 1.854167e+01 1.182170e+01 5.475539e+01 1.052476e+03
 [706] 1.359185e+00 4.670906e+01 1.231770e+00 1.387123e+02 6.509167e+00
 [711] 1.094845e+01 1.766438e+02 7.534465e+00 7.001628e+02 1.482143e+00
 [716] 1.189867e+02 1.142132e+01 3.969170e+01 2.647721e+01 5.905119e+01
 [721] 5.217631e+01 5.625584e+02 2.713808e+02 1.380951e+02 3.582926e+01
 [726] 1.217259e+01 1.888729e+01 1.608852e+01 1.022077e+01 5.687990e+00
 [731] 3.045977e+01 1.521110e+01 4.671596e+00 1.508738e+01 3.362849e+01
 [736] 1.791857e+02 3.884469e+01 4.577196e+00 1.163813e+01 1.169593e+01
 [741] 1.590407e+00 2.682489e+01 5.086659e+01 4.323861e+02 2.998765e+01
 [746] 1.412907e+01 6.281651e+01 4.529248e+01 8.888791e+01 2.857319e+01
 [751] 1.651180e+01 1.442846e+00 7.856340e+00 1.342881e+03 5.985258e+01
 [756] 6.481658e+01 6.345736e+01 2.198211e+02 1.806692e+01 1.654965e+01
 [761] 2.227622e+01 4.914569e+00 6.898792e+01 3.211385e+02 8.245563e+01
 [766] 5.120474e+00 7.605570e+01 2.788613e+00 1.607510e+01 9.120824e+00
 [771] 3.741119e+02 1.108389e+01 5.074355e+01 7.350055e+01 1.125730e+01
 [776] 1.522540e+01 5.082086e+01 1.102920e+03 3.635717e+03 2.231924e+01
 [781] 3.213401e+01 1.218229e+02 9.920556e+02 2.828775e+02 2.539100e+02
 [786] 3.950088e+01 3.609173e+01 1.488012e+01 2.980202e+01 1.712972e+01
 [791] 2.606150e+01 8.456681e+02 1.107403e+01 1.319336e+01 1.904563e+01
 [796] 6.345379e+01 1.103090e+01 4.615653e+00 2.543709e+03 1.388515e+02
 [801] 5.966949e+00 3.505461e+01 6.601499e+00 1.405929e+01 3.255605e+03
 [806] 4.090023e+01 1.073340e+02 1.042158e+00 4.322291e+02 3.901416e+03
 [811] 1.365471e+03 1.784239e+02 4.521865e+00 3.848364e+00 1.000524e+02
 [816] 5.266322e+02 3.358601e+01 1.775482e+03 2.670645e+00 1.835728e+01
 [821] 2.714096e+01 1.659378e+01 5.274773e+01 2.083232e+02 8.164395e+00
 [826] 2.221224e+01 1.147865e+03 5.327564e+01 9.659809e+00 7.095614e+02
 [831] 7.456669e+00 8.535633e+00 4.850388e+01 2.052778e+01 3.337394e+01
 [836] 1.056309e+02 6.113570e+02 8.082344e+02 2.649005e+01 2.459421e+01
 [841] 5.441385e+01 6.306201e+00 5.144326e+02 1.434452e+02 2.501009e+03
 [846] 8.082255e+01 2.144788e+00 5.280628e+00 2.490645e+01 7.498498e+00
 [851] 3.592747e+01 1.403750e+03 2.920938e+01 2.322363e+01 1.928410e+01
 [856] 8.073215e+01 4.882149e+00 1.235104e+01 1.419739e+01 1.049393e+01
 [861] 3.086542e+01 1.097193e+01 1.707247e+02 4.077078e+00 1.684567e+01
 [866] 7.252723e+01 2.675662e+02 1.608234e+03 5.818914e+00 2.136754e+01
 [871] 4.184882e+01 2.765468e+01 4.811521e+00 1.973192e+01 8.820572e+02
 [876] 1.113403e+02 1.707781e+01 4.101013e+01 1.000420e+01 8.824282e+01
 [881] 3.132175e+01 2.006091e+00 4.834129e+00 1.239695e+01 1.122761e+03
 [886] 9.592099e+01 1.984687e+01 9.505125e+01 8.594741e+02 1.246146e+00
 [891] 2.748681e+01 7.391627e+01 1.291077e+01 4.103934e+00 4.378285e+02
 [896] 1.726710e+02 1.947486e+02 5.697171e+00 8.932555e-01 5.065850e+01
 [901] 3.475932e+00 3.008331e+00 1.234760e+00 1.066036e+02 1.138437e+01
 [906] 3.315324e+01 1.385647e+00 3.185063e+00 5.606821e-01 5.980065e+01
 [911] 2.133715e+01 9.659963e+01 3.065999e+02 4.496987e+01 9.173046e+01
 [916] 5.654136e+00 6.748829e+01 7.425704e+00 2.906498e+01 1.067510e+01
 [921] 8.237936e+00 8.420145e+00 5.647139e+01 1.205118e+01 4.682776e+01
 [926] 1.210546e+01 9.600530e+00 2.481966e+01 1.274411e+01 3.174840e+01
 [931] 2.021779e+00 1.125853e+02 4.194707e+00 3.377161e+01 1.495028e-01
 [936] 3.580019e-01 1.762504e+01 5.056806e+01 2.029355e+02 9.389441e+00
 [941] 1.540601e+01 3.131130e+01 3.027188e+01 1.727118e+03 3.797137e+00
 [946] 1.645149e+01 9.112509e+01 1.367046e+03 6.341065e+02 5.818832e+00
 [951] 3.230614e+01 1.740642e+03 4.066555e+00 7.391655e+00 5.243520e+00
 [956] 1.198822e+01 1.180793e+01 5.012309e+01 6.731854e+00 5.673616e+00
 [961] 1.591551e+01 4.499119e+00 2.181338e+02 2.135720e+02 2.627566e+00
 [966] 2.074161e+00 7.012194e+00 1.746757e+01 9.566916e+00 6.818406e+01
 [971] 3.188648e+01 1.217066e+02 1.823184e+01 1.400848e+01 4.329180e+00
 [976] 8.781575e+01 2.389950e+01 1.549799e+01 4.544346e+02 1.803696e+01
 [981] 5.983288e+00 2.686368e+01 2.532056e+02 8.538412e+01 4.387176e+02
 [986] 2.030361e+01 1.980926e+01 1.042166e+03 1.009552e+03 4.129851e+00
 [991] 1.168747e+01 4.773220e+00 1.213882e+03 2.578756e+00 2.440299e+01
 [996] 8.674346e+00 2.158236e+00 1.905446e+01 1.296495e+01 3.909330e+01

boutnt> ## 'rndproc2' is a random sample vector from the example
boutnt> xbouts2 <- boutfreqs(rndprocs2, 5)  # Bouts class result

boutnt> (startval2 <- boutinit(xbouts2, 80))
          [2.54,80]     (80,948]
a      4.069680e+03 1.350131e+03
lambda 3.938513e-02 4.387283e-03

boutnt> ## 3-process
boutnt> ## 'rndproc3' is a random sample vector from the example
boutnt> xbouts3 <- boutfreqs(rndprocs3, 5)

boutnt> (startval3 <- boutinit(xbouts3, c(75, 220)))
          [2.55,75]     (75,220] (220,8.3e+03]
a      3.861946e+03 1.549852e+03  1.140873e+03
lambda 3.620585e-02 1.115144e-02  9.094169e-04
> 
> ## 2-process
> opts0 <- list(method="L-BFGS-B", lower=c(-2, -5, -10))
> opts1 <- list(method="L-BFGS-B", lower=c(1e-1, 1e-3, 1e-6))
> bouts2.fit <- fitMLEbouts(xbouts2, start=startval2, optim_opts0=opts0,
+                           optim_opts1=opts1)
Error in mle(function (p, lambda0, lambda1)  : 
  'start' must be a named list
Calls: fitMLEbouts ... fitMLEbouts -> fitMLEbouts -> .local -> do.call -> mle
Execution halted
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
** running tests for arch 'i386' ... [156s] OK
  Running 'tinytest.R' [156s]
** running tests for arch 'x64' ... [182s] OK
  Running 'tinytest.R' [182s]
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in 'inst/doc' ... OK
* checking re-building of vignette outputs ... [90s] OK
* checking PDF version of manual ... OK
* DONE
Status: 2 ERRORs