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:10.48550/arXiv.2110.14232>).
Version: | 1.2.0 |
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: | 2025-08-19 |
DOI: | 10.32614/CRAN.package.bregr |
Author: | Shixiang Wang |
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 |
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) |
Package source: | bregr_1.2.0.tar.gz |
Windows binaries: | r-devel: bregr_1.0.0.zip, r-release: bregr_1.2.0.zip, r-oldrel: bregr_1.2.0.zip |
macOS binaries: | r-release (arm64): bregr_1.0.0.tgz, r-oldrel (arm64): bregr_1.0.0.tgz, r-release (x86_64): bregr_1.2.0.tgz, r-oldrel (x86_64): bregr_1.2.0.tgz |
Old sources: | bregr archive |
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