unmarked: Models for Data from Unmarked Animals

Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates. Reference: Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.

Version: 1.2.5
Depends: R (≥ 2.12.0), methods
Imports: graphics, lattice, lme4, MASS, Matrix, parallel, pbapply, plyr, Rcpp (≥ 0.8.0), stats, TMB (≥ 1.7.18), utils
LinkingTo: Rcpp, RcppArmadillo, TMB, RcppEigen
Suggests: knitr, rmarkdown, pkgdown, raster, testthat
Published: 2022-05-13
Author: Richard Chandler [aut], Ken Kellner [cre, aut], Ian Fiske [aut], David Miller [aut], Andy Royle [aut], Jeff Hostetler [aut], Rebecca Hutchinson [aut], Adam Smith [aut], Marc Kery [ctb], Mike Meredith [ctb], Auriel Fournier [ctb], Ariel Muldoon [ctb], Chris Baker [ctb]
Maintainer: Ken Kellner <contact at kenkellner.com>
BugReports: https://github.com/rbchan/unmarked/issues
License: GPL (≥ 3)
URL: https://groups.google.com/d/forum/unmarked, https://rbchan.github.io/unmarked/, https://github.com/ianfiske/unmarked, https://github.com/rbchan/unmarked
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: unmarked citation info
Materials: NEWS
In views: Environmetrics
CRAN checks: unmarked results

Documentation:

Reference manual: unmarked.pdf
Vignettes: Capture-recapture
Distance sampling analysis
Power Analysis in unmarked
Simulating datasets
Species distributions
Overview of unmarked

Downloads:

Package source: unmarked_1.2.5.tar.gz
Windows binaries: r-devel: unmarked_1.2.5.zip, r-release: unmarked_1.2.5.zip, r-oldrel: unmarked_1.2.5.zip
macOS binaries: r-release (arm64): unmarked_1.2.5.tgz, r-oldrel (arm64): unmarked_1.2.5.tgz, r-release (x86_64): unmarked_1.2.5.tgz, r-oldrel (x86_64): unmarked_1.2.5.tgz
Old sources: unmarked archive

Reverse dependencies:

Reverse depends: DiversityOccupancy, ubms
Reverse imports: AHMbook, AICcmodavg, AMModels, nmixgof
Reverse suggests: auk, camtrapR
Reverse enhances: MuMIn

Linking:

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