Package: pogit 1.3.0

Michaela Dvorzak

pogit: Bayesian Variable Selection for a Poisson-Logistic Model

Bayesian variable selection for regression models of under-reported count data as well as for (overdispersed) Poisson, negative binomal and binomial logit regression models using spike and slab priors.

Authors:Michaela Dvorzak [aut, cre], Helga Wagner [aut]

pogit_1.3.0.tar.gz
pogit_1.3.0.tar.gz(r-4.5-noble)pogit_1.3.0.tar.gz(r-4.4-noble)
pogit_1.3.0.tgz(r-4.4-emscripten)pogit_1.3.0.tgz(r-4.3-emscripten)
pogit.pdf |pogit.html
pogit/json (API)
NEWS

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

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.04 score 11 scripts 153 downloads 4 exports 75 dependencies

Last updated 2 years agofrom:b0f4b72eaa. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-linuxOKNov 02 2024

Exports:logitBvsnegbinBvspogitBvspoissonBvs

Dependencies:backportsbitbit64bootbroomclicliprcodetoolscolorspacecpp11crayondplyrfansifarverforcatsforeachformula.toolsgenericsggplot2glmnetgluegtablehavenhmsisobanditeratorsjomolabelinglatticelifecyclelme4logistfmagrittrMASSMatrixmgcvmiceminqamitmlmunsellnlmenloptrnnetnumDerivoperator.toolsordinalpanpillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppRcppEigenreadrrlangrpartscalesshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsviridisLitevroomwithr