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.

Version: 0.13-0
Depends: R (≥ 2.12.0), methods, lattice, parallel, Rcpp (≥ 0.8.0), reshape2
Imports: graphics, stats, utils, plyr, raster, Matrix, MASS
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-11-12
Author: Ian Fiske, Richard Chandler, David Miller, Andy Royle, Marc Kery, Jeff Hostetler, Rebecca Hutchinson, Adam Smith, Ken Kellner
Maintainer: Andy Royle <aroyle at usgs.gov>
License: GPL (≥ 3)
URL: http://groups.google.com/group/unmarked, https://sites.google.com/site/unmarkedinfo/home, http://github.com/ianfiske/unmarked, http://github.com/rbchan/unmarked
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: unmarked citation info
Materials: NEWS
In views: Environmetrics
CRAN checks: unmarked results

Downloads:

Reference manual: unmarked.pdf
Vignettes: Capture-recapture
Dynamic occupancy models
Distance sampling analysis
Species distributions
Overview of unmarked
Package source: unmarked_0.13-0.tar.gz
Windows binaries: r-devel: unmarked_0.13-0.zip, r-devel-gcc8: unmarked_0.13-0.zip, r-release: unmarked_0.13-0.zip, r-oldrel: unmarked_0.13-0.zip
OS X binaries: r-release: unmarked_0.13-0.tgz, r-oldrel: unmarked_0.13-0.tgz
Old sources: unmarked archive

Reverse dependencies:

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

Linking:

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