Easy and Efficient Batch Processing of Regression Models R package bregr version 1.5.0 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. (2025) <DOI:10.1002/mdr2.70028>). Software 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, qs2, rmarkdown, testthat (>= 3.0.0), clusterProfiler, glmnet, UCSCXenaShiny, visreg Shixiang Wang <w_shixiang@163.com> Comprehensive R Archive Network (CRAN) Shixiang Wang [aut, cre] (ORCID: <https://orcid.org/0000-0001-9855-7357>), Yun Peng [aut] (ORCID: <https://orcid.org/0000-0003-2801-3332>), Chenyang Shu [aut] GPL (>= 3) 2026-08-01 application/tgz https://CRAN.R-project.org/package=bregr doi:10.32614/CRAN.package.bregr