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. References: Kellner et al. (2023) , Fiske and Chandler (2011) .


Reference manual

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install.packages("unmarked")

1.5.2 by Ken Kellner, 2 months ago


https://groups.google.com/d/forum/unmarked, https://ecoverseR.github.io/unmarked/


Report a bug at https://github.com/ecoverseR/unmarked/issues


Browse source code at https://github.com/cran/unmarked


Authors: 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] , Lea Pautrel [aut] , Marc Kery [ctb] , Mike Meredith [ctb] , Auriel Fournier [ctb] , Ariel Muldoon [ctb] , Chris Baker [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports graphics, lattice, MASS, Matrix, methods, parallel, Rcpp, reformulas, stats, TMB, utils

Suggests pbapply, knitr, rmarkdown, raster, shiny, testthat, terra

Linking to Rcpp, RcppArmadillo, TMB, RcppEigen

System requirements: GNU make


Imported by AHMbook, AICcmodavg, AMModels, multiScaleR, nmixgof.

Depended on by ubms.

Suggested by auk, camtrapR, hmmTMB.

Enhanced by MuMIn.


See at CRAN