foieGras 0.7-5 (23/04/2021)

adds sim() to simulate animal tracks using the rw, crw or mpm process models. The rw and crw models can also be specified with state-switching between multiple behavioural states. Tracks can be simulated with or without Argos (LS or KF) errors, as time-regular or time-irregular
adds simfit() to simulate animal tracks from fit_ssm fit objects
adds generic plot() methods for sim and simfit objects
adds fit_mpm can take a fit_ssm object directly as input, removing need for user to manipulate data prior to calling fit_mpm
adds fit_mpm can fit to SSM-predicted (time regular) or SSM-fitted (time irregular) locations, via what argument
adds fit_mpm can fit to lon,lat or x,y coordinates, via coords argument
adds ssm_control() for centralized control over optimizer and optimization method choices, optimizer parameters, and foieGras model parameter bounds
adds faster and more stable optimization
adds time-series and acf() plots as option when visualising prediction residuals calculated from osar()
removes hist plots as option when visualising prediction residuals calculated from osar()
removes (with deprecation errors) verbose, optim, optMeth, and lpsi arguments to fit_ssm
replaces wesanderson::wes_palette(“Zissou1”) with hcl.colors(“Zissou1”) and provides arguments to change this default palette

foieGras 0.6-9

adds wesanderson::wes_palette("Zissou1") as default palette for plots/maps
generic plot method for fG_ssm objects can now plot individuals all on 1 page (pages = 1) or on separate pages (pages = 0)
2-d (track) plots now include confidence ellipses on estimated locations
generic plot method for fG_mpm objects now available
mapping function (fmap) can optionally take an fG_mpm object to colour locations by behavioural index (gamma_t)

adds ability to fit move persistence models to temporally regular OR irregular location data
adds ability to turn off predicted locations by setting time.step=NA causing locations to be estimated only at observation times
adds ability to fit to Argos - GPS or Argos - GLS locations simultaneously when combined in a single input data.frame
adds ability to specify an alternate emf (Error Multiplication Factor) data.frame for Least-Squares and/or GPS locations
adds human-readable/understandable errors and warnings with (occasional) advice
turns off estimation of psi parameter (ellipse semi-minor axis re-scaling factor) when rw process model is fit to Argos KF/KS data
removes reliance on dplyr::do, which is superseded as of dplyr 1.0.0
replaces dplyr progressbar with parameter trace when fitting SSM to single or multiple data sets in default verbose mode 1
replaces argosfilter::sdafilter in favour of trip::sda (which is a faster, vectorized version of the former) to prefilter outlier locations

adds move persistence models for behavioural inference along animal tracks, via fit_mpm()
adds ability to fit SSM’s to processed light-level geolocation or GPS data by adding lonerr, laterr variables to input data
adds One-Step-Ahead prediction residuals for evaluating SSM fits, via osar() and generic plot() method for osar output
adds diagnostic plot functions that handle multi-individual fits, via generic plot() method for fG_ssm fit objects
adds sf-enabled mapping function, via fmap()
fixes CRAN check errors from last version, where proj4string syntax +init:epsg= was not supported in non-PROJ4 emulation mode on some linux platforms