Package: jointNmix 1.0

Rafael de Andrade Moral

jointNmix: Joint N-Mixture Models for Site-Associated Species

Fits univariate and joint N-mixture models for data on two unmarked site-associated species. Includes functions to estimate latent abundances through empirical Bayes methods.

Authors:Rafael de Andrade Moral [aut, cre], Clarice Garcia Borges Demetrio [aut], John Hinde [aut]

jointNmix_1.0.tar.gz
jointNmix_1.0.tar.gz(r-4.5-noble)jointNmix_1.0.tar.gz(r-4.4-noble)
jointNmix_1.0.tgz(r-4.4-emscripten)jointNmix_1.0.tgz(r-4.3-emscripten)
jointNmix.pdf |jointNmix.html✨
jointNmix/json (API)

# Install 'jointNmix' in R:
install.packages('jointNmix', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 142 downloads 21 exports 0 dependencies

Last updated 8 years agofrom:e142b6d98f. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-linuxNOTENov 16 2024

Exports:AIC.Nmixanova.Nmixcoef.NmixdneymanAfitted.jointNmixfitted.uniNmixgetcorr.jointNmixgetcov.jointNmixgetranef.jointNmixgetranef.uniNmixjointNmixlogLik.NmixNmixplot.jointNmixplot.uniNmixprint.jointNmixprint.uniNmixresiduals.jointNmixresiduals.uniNmixsimulate.jointNmixsimulate.uniNmix

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Joint N-Mixture Models for Site-Associated SpeciesjointNmix-package
Get empirical Bayes predictions of the latent abundancesgetranef.jointNmix getranef.uniNmix
Extract correlations and covariancesgetcorr.jointNmix getcov.jointNmix
The Neyman-A probability functiondneymanA
Joint N-mixture modelsjointNmix
Methods for joint Nmix objectsfitted.jointNmix print.jointNmix residuals.jointNmix simulate.jointNmix
Univariate N-mixture modelsNmix
Methods for Nmix objectsAIC.Nmix anova.Nmix coef.Nmix logLik.Nmix
Plot Methods for Nmix objectsplot.jointNmix plot.uniNmix
Methods for univariate Nmix objectsfitted.uniNmix print.uniNmix residuals.uniNmix simulate.uniNmix