Package: nmixgof 0.1.2

Jonas Knape

nmixgof: 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) <doi:10.1101/194340>.

Authors:Jonas Knape [aut, cre]

nmixgof_0.1.2.tar.gz
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nmixgof_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
nmixgof/json (API)

# Install 'nmixgof' in R:

install.packages('nmixgof', repos = c('https://jknape.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jknape/nmixgof/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

shoveler - Northern shoveler data

On CRAN:

cpp

2.70 score 1 stars 9 scripts 228 downloads 5 exports 11 dependencies

Last updated from:d90edebd6c. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	102
linux-devel-x86_64	OK	109
source / vignettes	OK	165
linux-release-arm64	OK	87
linux-release-x86_64	OK	108
macos-release-arm64	OK	116
macos-release-x86_64	OK	326
macos-oldrel-arm64	OK	109
macos-oldrel-x86_64	OK	255
windows-devel-arm64	OK	329
windows-devel-x86_64	OK	158
windows-release-arm64	OK	323
windows-release-x86_64	OK	118
windows-oldrel-x86_64	OK	119
wasm-release	OK	81

Exports:chat residcov residfit residqq rqresiduals

Dependencies:lattice MASS Matrix rbibutils Rcpp RcppArmadillo RcppEigen Rdpack reformulas TMB unmarked

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Overdispersion metrics for binomial N-mixture models.	chat
Goodness of fit checks for binomial N-mixture models	nmixgof-package nmixgof
Plot residuals against covariates	residcov
Plot residuals against fitted values	residfit
Qq plot of randomized quantile residuals against standard normal quantiles	residqq
Randomized quantile resiudals for binomial N-mixture models.	rqresiduals
Northern shoveler data	shoveler