zoid: Bayesian Zero-and-One Inflated Dirichlet Regression Modelling

Fits Dirichlet regression and zero-and-one inflated Dirichlet regression with Bayesian methods implemented in Stan. These models are sometimes referred to as trinomial mixture models; covariates and overdispersion can optionally be included.

Version: 1.0.0
Depends: R (≥ 3.4.0)
Imports: methods, gtools, compositions, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.1.1)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat, knitr, rmarkdown
Published: 2021-11-15
Author: Eric J. Ward ORCID iD [aut, cre], Alexander J. Jensen ORCID iD [aut], Ryan P. Kelly ORCID iD [aut], Andrew O. Shelton ORCID iD [aut], William H. Satterthwaite ORCID iD [aut]
Maintainer: Eric J. Ward <eric.ward at noaa.gov>
BugReports: https://github.com/nwfsc-cb/zoid/issues
License: GPL (≥ 3)
URL: https://nwfsc-cb.github.io/zoid/
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: zoid citation info
CRAN checks: zoid results

Documentation:

Reference manual: zoid.pdf
Vignettes: Fitting models with zoid
Simulating data
Priors for compositions
Prior sensitivity for overdispersion

Downloads:

Package source: zoid_1.0.0.tar.gz
Windows binaries: r-devel: zoid_1.0.0.zip, r-devel-UCRT: zoid_1.0.0.zip, r-release: zoid_1.0.0.zip, r-oldrel: zoid_1.0.0.zip
macOS binaries: r-release (arm64): zoid_1.0.0.tgz, r-release (x86_64): zoid_1.0.0.tgz, r-oldrel: zoid_1.0.0.tgz

Linking:

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