Bayesian Models for Data from Unmarked Animals using 'Stan'

Fit Bayesian hierarchical models of animal abundance and occurrence via the 'rstan' package, the R interface to the 'Stan' C++ library. Supported models include single-season occupancy, dynamic occupancy, and N-mixture abundance models. Covariates on model parameters are specified using a formula-based interface similar to package 'unmarked', while also allowing for estimation of random slope and intercept terms. References: Carpenter et al. (2017) ; Fiske and Chandler (2011) .


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1.1.0 by Ken Kellner, 2 months ago

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Authors: Ken Kellner [cre, aut]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports ggplot2, gridExtra, lme4, loo, Matrix, methods, pbapply, Rcpp, RSpectra, rstan, rstantools, stats

Depends on unmarked

Suggests covr, devtools, knitr, pkgdown, raster, rmarkdown, rlang, roxygen2, testthat

Linking to BH, Rcpp, RcppArmadillo, RcppEigen, rstan, StanHeaders, RcppParallel

System requirements: GNU make

See at CRAN