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-4.5)multiocc_0.2.0.zip(r-4.4)multiocc_0.2.0.zip(r-4.3)
multiocc_0.2.0.tgz(r-4.4-any)multiocc_0.2.0.tgz(r-4.3-any)
multiocc_0.2.0.tar.gz(r-4.5-noble)multiocc_0.2.0.tar.gz(r-4.4-noble)
multiocc_0.2.0.tgz(r-4.4-emscripten)multiocc_0.2.0.tgz(r-4.3-emscripten)
multiocc.pdf |multiocc.html
multiocc/json (API)

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

Peer review:

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

Datasets:

On CRAN:

3 exports 0.62 score 14 dependencies 4 scripts 141 downloads

Last updated 1 years agofrom:0ab537e7c1. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winNOTEAug 22 2024
R-4.5-linuxNOTEAug 22 2024
R-4.4-winNOTEAug 22 2024
R-4.4-macNOTEAug 22 2024
R-4.3-winNOTEAug 22 2024
R-4.3-macNOTEAug 22 2024

Exports:GibbsSamplerMakeBasismultioccbuild

Dependencies:codadeldirgmminterplatticeMASSMatrixmvtnormRcppRcppEigensandwichtmvtnormtruncnormzoo

Introduction to the multiocc package

Rendered fromIntro_multiocc.Rmdusingknitr::rmarkdownon Aug 22 2024.

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