Bayesian Post-Estimation on the Mean Scale
Overview
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.
- Functionality to pass joint posterior from a model into bayesMargEffF, thus generalizing the function to many more use cases
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-05-28
- ERROR12 OK, 1 ERROR2026-05-21
- OK14 OK2026-03-29
Show 2 earlier changesHide 2 earlier changes
- ERROR12 OK, 2 ERROR2026-03-19
- OK14 OK2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 0%7 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Repository
- PRs merged (all time)
- 80%
- Median days to close, 50 most recently updated closed issues
- 448
- Median days to close, 50 most recently updated closed PRs
- 0
Releases over time
Issues over time
PRs over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/dalenbe2/bayesmeanscale on 2026-10-21.
Dependencies
Installing bayesMeanScale adds 23 packages (12 with compiled code, 13 MB of source tarballs). Heaviest: data.table 5.7 MB, insight 1.2 MB, vctrs 1.0 MB.
CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.
- insight through bayestestRfix by Nov 14
Code & Tests
People & History
Package metadata
- First published
- 2024-04-23
- Total releases
- 8 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 316 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("bayesMeanScale")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.