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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:e142b6d98f. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 17 2024 |
| R-4.5-linux | NOTE | Oct 17 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 page | Topics |
|---|---|
| Joint N-Mixture Models for Site-Associated Species | jointNmix-package |
| Get empirical Bayes predictions of the latent abundances | getranef.jointNmix getranef.uniNmix |
| Extract correlations and covariances | getcorr.jointNmix getcov.jointNmix |
| The Neyman-A probability function | dneymanA |
| Joint N-mixture models | jointNmix |
| Methods for joint Nmix objects | fitted.jointNmix print.jointNmix residuals.jointNmix simulate.jointNmix |
| Univariate N-mixture models | Nmix |
| Methods for Nmix objects | AIC.Nmix anova.Nmix coef.Nmix logLik.Nmix |
| Plot Methods for Nmix objects | plot.jointNmix plot.uniNmix |
| Methods for univariate Nmix objects | fitted.uniNmix print.uniNmix residuals.uniNmix simulate.uniNmix |