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
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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'))

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

Datasets:

On CRAN:

3.70 score 4 scripts 187 downloads 3 exports 14 dependencies

Last updated 2 years agofrom:0ab537e7c1. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-winNOTEFeb 18 2025
R-4.5-macNOTEFeb 18 2025
R-4.5-linuxNOTEFeb 18 2025
R-4.4-winNOTEFeb 18 2025
R-4.4-macNOTEFeb 18 2025
R-4.3-winNOTEFeb 18 2025
R-4.3-macNOTEFeb 18 2025

Exports:GibbsSamplerMakeBasismultioccbuild

Dependencies:codadeldirgmminterplatticeMASSMatrixmvtnormRcppRcppEigensandwichtmvtnormtruncnormzoo

Introduction to the multiocc package

Rendered fromIntro_multiocc.Rmdusingknitr::rmarkdownon Feb 18 2025.

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