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bregr: Easy and Efficient Batch Processing of Regression Models

Easily processes 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:10.1002/mdr2.70028>).

Version:1.3.0
Depends:R (≥ 4.1.0)
Imports:broom,broom.helpers,cli,dplyr,forestploter,ggplot2,glue,insight,lifecycle,mirai,purrr,rlang (≥ 1.1.0),S7,survival,tibble, utils,vctrs (≥ 0.5.0)
Suggests:broom.mixed,fs,ggalign,ggnewscale,ggstats,ggstatsplot,gtsummary,ids,knitr,lme4,merDeriv, parallel,qs,rmarkdown,testthat (≥ 3.0.0),UCSCXenaShiny,visreg
Published:2025-09-22
DOI:10.32614/CRAN.package.bregr
Author:Shixiang WangORCID iD [aut, cre], Yun PengORCID 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.html ,bregr.pdf
Vignettes:Group Regression Analysis and Visualization (source,R code)
Model Configurations (source,R code)
Quickly Analyze Cancer Data with Data from UCSCXenaShiny (source,R code)
Save Models to Local Disk (source,R code)
Supported Models (source,R code)

Downloads:

Package source: bregr_1.3.0.tar.gz
Windows binaries: r-devel:bregr_1.3.0.zip, r-release:bregr_1.3.0.zip, r-oldrel:bregr_1.3.0.zip
macOS binaries: r-release (arm64):bregr_1.3.0.tgz, r-oldrel (arm64):bregr_1.3.0.tgz, r-release (x86_64):bregr_1.3.0.tgz, r-oldrel (x86_64):bregr_1.3.0.tgz
Old sources: bregr archive

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