Package: multiocc 0.2.0

multiocc: Fits Multivariate Spatio-Temporal Occupancy Model

Spatio-temporal multivariate occupancy models can handle multiple species in occupancy models. This method for fitting such models is described in Hepler and Erhardt (2021) "A spatiotemporal model for multivariate occupancy data" <https://onlinelibrary.wiley.com/doi/abs/10.1002/env.2657>.

Authors:Staci Hepler [aut, cre], Rob Erhardt [aut]

multiocc_0.2.0.tar.gz
multiocc_0.2.0.zip(r-4.7)multiocc_0.2.0.zip(r-4.6)multiocc_0.2.0.zip(r-4.5)
multiocc_0.2.0.tgz(r-4.6-any)multiocc_0.2.0.tgz(r-4.5-any)
multiocc_0.2.0.tar.gz(r-4.7-any)multiocc_0.2.0.tar.gz(r-4.6-any)
multiocc_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
multiocc/json (API)

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

Bug tracker:https://github.com/heplersa/multiocc/issues

Datasets:

On CRAN:

Conda:

3.70 score 4 scripts 173 downloads 3 exports 14 dependencies

Last updated from:0ab537e7c1. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE135
source / vignettesOK261
linux-release-x86_64NOTE148
macos-release-arm64NOTE205
macos-oldrel-arm64NOTE220
windows-develNOTE104
windows-releaseNOTE106
windows-oldrelNOTE108
wasm-releaseOK115

Exports:GibbsSamplerMakeBasismultioccbuild

Dependencies:codadeldirgmminterplatticeMASSMatrixmvtnormRcppRcppEigensandwichtmvtnormtruncnormzoo

Introduction to the multiocc package

Rendered fromIntro_multiocc.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2023-05-25
Started: 2023-05-25