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bregr: Easy and Efficient Batch Processing of Regression Models

Easily process batches of univariate or multivariate regression models. Returns results in a tidy format and generates visualization plots for straightforward interpretation (Wang, Shixiang, et al. (2021) <doi:10.48550/arXiv.2110.14232>).

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: broom, broom.helpers, cli, dplyr, forestploter, ggplot2, glue, insight, lifecycle, parallel, purrr, rlang (≥ 1.1.0), S7, survival, tibble, utils, vctrs (≥ 0.5.0)
Suggests: ggnewscale, ggstats, ggstatsplot, gtsummary, knitr, rmarkdown, testthat (≥ 3.0.0), visreg
Published: 2025-06-28
DOI: 10.32614/CRAN.package.bregr
Author: Shixiang Wang ORCID iD [aut, cre], Yun Peng ORCID iD [aut], Chenyang Shu [aut]
Maintainer: Shixiang Wang <w_shixiang at 163.com>
BugReports: https://github.com/WangLabCSU/bregr/issues
License: GPL (≥ 3)
URL: https://github.com/WangLabCSU/bregr, https://wanglabcsu.github.io/bregr/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: bregr results

Documentation:

Reference manual: bregr.pdf
Vignettes: Group Regression Analysis and Visualization (source, R code)

Downloads:

Package source: bregr_1.0.0.tar.gz
Windows binaries: r-devel: bregr_1.0.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): bregr_1.0.0.tgz, r-oldrel (x86_64): bregr_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.