Goodness of Fit Checks for Binomial N-Mixture Models

Provides residuals and overdispersion metrics to assess the fit of N-mixture models obtained using the package 'unmarked'. Details on the methods are given in Knape et al. (2017) .


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nmixgof

The R-package nmixgof provides tools to assess goodness of fit for binomial N-mixture models fitted using the unmarked package. The goodness of fit methods are detailed in Knape et al. (2018).

Knape et al. 2018. Sensitivity of binomial N-mixture models to overdispersion: the importance of assessing model fit. Methods in Ecology and Evolution, 9:2102-2114. (\doi{10.1111/2041-210X.13062}).

Installation

nmixgof is available from CRAN and can be installed in R through

install.packages("nmixgof")

Alternatively, nmixgof can be installed from github using:

# install.packages("devtools")
devtools::install_github("jknape/nmixgof")

Reference manual

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install.packages("nmixgof")

0.1.1 by Jonas Knape, 2 years ago


https://github.com/jknape/nmixgof


Report a bug at https://github.com/jknape/nmixgof/issues


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


Authors: Jonas Knape [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, unmarked

Linking to Rcpp


See at CRAN