Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Version: |
4.5.5 |
Depends: |
R (≥ 3.5.0), methods |
Imports: |
abind, graphics, grDevices, MASS, utils, parallel, nlme, sf, mgcv, raster (≥ 3.5-15), terra (≥ 1.5-12), stats, tools, stringr, Rcpp (≥ 0.12.14), RcppParallel (≥ 5.1.1), RcppNumerical |
LinkingTo: |
Rcpp, RcppParallel, RcppEigen, RcppNumerical, BH |
Suggests: |
gdistance, knitr, readxl, rmarkdown, sp, testthat, spsurvey (≥ 5.3.0) |
Published: |
2022-05-31 |
Author: |
Murray Efford
[aut, cre] |
Maintainer: |
Murray Efford <murray.efford at otago.ac.nz> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://github.com/MurrayEfford/secr/,
https://www.otago.ac.nz/density/ |
NeedsCompilation: |
yes |
SystemRequirements: |
GNU make |
Citation: |
secr citation info |
Materials: |
README NEWS |
In views: |
Environmetrics |
CRAN checks: |
secr results |