Package: bregr 1.4.0

Shixiang Wang

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. (2025) <doi:10.1002/mdr2.70028>).

Authors:Shixiang Wang [aut, cre], Yun Peng [aut], Chenyang Shu [aut]

bregr_1.4.0.tar.gz
bregr_1.4.0.zip(r-4.7)bregr_1.4.0.zip(r-4.6)bregr_1.4.0.zip(r-4.5)
bregr_1.4.0.tgz(r-4.6-any)bregr_1.4.0.tgz(r-4.5-any)
bregr_1.4.0.tar.gz(r-4.7-any)bregr_1.4.0.tar.gz(r-4.6-any)
bregr_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bregr/json (API)

# Install 'bregr' in R:
install.packages('bregr', repos = c('https://wanglabcsu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wanglabcsu/bregr/issues

Pkgdown/docs site:https://wanglabcsu.github.io

On CRAN:

Conda:

7.33 score 15 stars 24 scripts 251 downloads 42 exports 54 dependencies

Last updated from:b9b55d1131. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK318
source / vignettesOK348
linux-release-x86_64OK341
macos-release-arm64OK189
macos-oldrel-arm64OK198
windows-develOK297
windows-releaseOK257
windows-oldrelOK251
wasm-releaseOK173

Exports:br_avail_method_configbr_avail_methodsbr_avail_methods_use_expbr_compare_modelsbr_diagnosebr_get_configbr_get_databr_get_group_bybr_get_modelbr_get_model_namesbr_get_modelsbr_get_n_xbr_get_n_x2br_get_resultsbr_get_xbr_get_x2br_get_ybr_pipelinebr_predictbr_rename_modelsbr_runbr_set_modelbr_set_xbr_set_x2br_set_ybr_show_coxph_diagnosticsbr_show_fitted_linebr_show_fitted_line_2dbr_show_forestbr_show_forest_circlebr_show_forest_comparisonbr_show_forest_ggstatsbr_show_forest_ggstatsplotbr_show_nomogrambr_show_residualsbr_show_risk_networkbr_show_survival_curvesbr_show_tablebr_show_table_gtbregpolar_connectpolar_init

Dependencies:backportsbitbit64broombroom.helperscardsclicliprcpp11crayondplyrfarverforcatsforestplotergenericsggplot2gluegridExtragtablehavenhmsinsightisobandlabelinglabelledlatticelifecyclemagrittrMatrixmirainanonextpillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerreadrrlangS7scalesstringistringrsurvivaltibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr

Group Regression Analysis and Visualization
Rendered frombregr-group-by.Rmdusingknitr::rmarkdown

Last update: 2025-08-27
Started: 2025-06-19

Quickly Analyze Cancer Data with Data from UCSCXenaShiny
Obtain Data | Execute bregr Pipeline | Generate Visualizations | Explore Further
Rendered fromquick-analyze-cancer-data.Rmdusingknitr::rmarkdown

Last update: 2025-08-19
Started: 2025-08-07

Save Models to Local Disk
Rendered fromsave-model-file.Rmdusingknitr::rmarkdown

Last update: 2025-08-07
Started: 2025-08-07

Model Configurations
Interaction Terms | Customized GLM Family
Rendered frommodel-config.Rmdusingknitr::rmarkdown

Last update: 2025-08-06
Started: 2025-08-05

Supported Models
Default Supported Models | Linear Models | Logistic Models | Cox-PH Models | Extended Supported Models
Rendered fromsupported-models.Rmdusingknitr::rmarkdown

Last update: 2025-08-06
Started: 2025-08-05

Readme and manuals

Help Manual

Help pageTopics
Accessor functions for 'breg' objectsaccessors br_get_config br_get_data br_get_group_by br_get_model br_get_models br_get_model_names br_get_n_x br_get_n_x2 br_get_results br_get_x br_get_x2 br_get_y br_rename_models
Package availabilityavails br_avail_methods br_avail_methods_use_exp br_avail_method_config
Compare univariate and multivariate modelsbr_compare_models
Diagnose regression modelsbr_diagnose
Predict method for breg objectsbr_predict
Show Cox proportional hazards model diagnostic plotsbr_show_coxph_diagnostics
Show fitted regression line with 'visreg' interfacebr_show_fitted_line
Show 2d fitted regression line with 'visreg' interfacebr_show_fitted_line_2d
Show a forest plot for regression resultsbr_show_forest
Show a circular forest plot for regression resultsbr_show_forest_circle
Show forest plot for model comparisonbr_show_forest_comparison
Show a forest plot with 'ggstats' interfacebr_show_forest_ggstats
Show a forest plot with 'ggstatsplot' interfacebr_show_forest_ggstatsplot
Show nomogram for regression modelsbr_show_nomogram
Show residuals vs fitted plot for regression modelsbr_show_residuals
Show connected risk network plotbr_show_risk_network
Show survival curves based on model scoresbr_show_survival_curves
Show model tidy results in table formatbr_show_table
Show regression models with 'gtsummary' interfacebr_show_table_gt
Creates a new breg-class objectbreg
Modeling and analysis pipelinebr_pipeline br_run br_set_model br_set_x br_set_x2 br_set_y pipeline
Connects dotspolar_connect
Init a dot plot in polar systempolar_init
Print method for breg objectprint.breg
Print method for breg_comparison objectprint.breg_comparison