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:
nmixgof_0.1.2.tar.gz
nmixgof_0.1.2.zip(r-4.7)nmixgof_0.1.2.zip(r-4.6)nmixgof_0.1.2.zip(r-4.5)
nmixgof_0.1.2.tgz(r-4.6-x86_64)nmixgof_0.1.2.tgz(r-4.6-arm64)nmixgof_0.1.2.tgz(r-4.5-x86_64)nmixgof_0.1.2.tgz(r-4.5-arm64)
nmixgof_0.1.2.tar.gz(r-4.7-arm64)nmixgof_0.1.2.tar.gz(r-4.7-x86_64)nmixgof_0.1.2.tar.gz(r-4.6-arm64)nmixgof_0.1.2.tar.gz(r-4.6-x86_64)
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
- shoveler - Northern shoveler data
Last updated from:d90edebd6c. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 125 | ||
| linux-devel-x86_64 | OK | 171 | ||
| source / vignettes | OK | 143 | ||
| linux-release-arm64 | OK | 128 | ||
| linux-release-x86_64 | OK | 105 | ||
| macos-release-arm64 | OK | 159 | ||
| macos-release-x86_64 | OK | 330 | ||
| macos-oldrel-arm64 | OK | 254 | ||
| macos-oldrel-x86_64 | OK | 314 | ||
| windows-devel | OK | 128 | ||
| windows-release | OK | 118 | ||
| windows-oldrel | OK | 120 | ||
| wasm-release | OK | 109 |
Exports:chatresidcovresidfitresidqqrqresiduals
Dependencies:latticeMASSMatrixrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulasTMBunmarked
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 |