Package: bayesMeanScale 0.2.1

bayesMeanScale: Bayesian Post-Estimation on the Mean Scale

Computes Bayesian posterior distributions of predictions, marginal effects, and differences of marginal effects for various generalized linear models. Importantly, the posteriors are on the mean (response) scale, allowing for more natural interpretation than summaries on the link scale. Also, predictions and marginal effects of the count probabilities for Poisson and negative binomial models can be computed.

Authors:David M. Dalenberg [aut, cre]

bayesMeanScale_0.2.1.tar.gz
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bayesMeanScale.pdf |bayesMeanScale.html
bayesMeanScale/json (API)
NEWS

# Install 'bayesMeanScale' in R:
install.packages('bayesMeanScale', repos = c('https://dalenbe2.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dalenbe2/bayesmeanscale/issues

On CRAN:

Conda:

4.85 score 1 scripts 446 downloads 7 exports 24 dependencies

Last updated 3 months agofrom:32ec094cd3. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-winOKMar 09 2025
R-4.5-macOKMar 09 2025
R-4.5-linuxOKMar 09 2025
R-4.4-winOKMar 09 2025
R-4.4-macOKMar 09 2025
R-4.4-linuxOKMar 09 2025
R-4.3-winOKMar 09 2025
R-4.3-macOKMar 09 2025

Exports:bayesCountMargEffFbayesCountPredsFbayesMargCompareFbayesMargEffFbayesOrdinalMargEffFbayesOrdinalPredsFbayesPredsF

Dependencies:abindbackportsbayestestRcheckmateclidata.tabledatawizarddistributionalfansigenericsglueinsightlifecyclemagrittrmatrixStatsnumDerivpillarpkgconfigposteriorrlangtensorAtibbleutf8vctrs

Introduction to 'bayesMeanScale'

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Mar 09 2025.

Last update: 2025-01-08
Started: 2024-04-03