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blorr  

Tools for Developing Binary Logistic Regression Models
View on CRAN: Click here


Download and install blorr package within the R console
Install from CRAN:
install.packages("blorr")

Install from Github:
library("remotes")
install_github("cran/blorr")

Install by package version:
library("remotes")
install_version("blorr", "0.3.1")



Attach the package and use:
library("blorr")
Maintained by
Aravind Hebbali
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-11
Latest Update: 2024-11-11
Description:
Tools designed to make it easier for beginner and intermediate users to build and validate binary logistic regression models. Includes bivariate analysis, comprehensive regression output, model fit statistics, variable selection procedures, model validation techniques and a 'shiny' app for interactive model building.
How to cite:
Aravind Hebbali (2018). blorr: Tools for Developing Binary Logistic Regression Models. R package version 0.3.1, https://cran.r-project.org/web/packages/blorr. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:22), 0.1.0 (2018-05-11 11:56), 0.2.0 (2018-12-14 13:10), 0.2.1 (2019-03-12 16:36), 0.2.2 (2020-02-03 12:40), 0.3.0 (2020-05-28 14:20)
Other packages that cited blorr R package
View blorr citation profile
Other R packages that blorr depends, imports, suggests or enhances
Complete documentation for blorr
Functions, R codes and Examples using the blorr R package
Some associated functions: bank_marketing . blorr . blr_bivariate_analysis . blr_coll_diag . blr_confusion_matrix . blr_decile_capture_rate . blr_decile_lift_chart . blr_gains_table . blr_gini_index . blr_ks_chart . blr_launch_app . blr_linktest . blr_lorenz_curve . blr_model_fit_stats . blr_multi_model_fit_stats . blr_pairs . blr_plot_c_fitted . blr_plot_c_leverage . blr_plot_deviance_fitted . blr_plot_deviance_residual . blr_plot_dfbetas_panel . blr_plot_diag_c . blr_plot_diag_cbar . blr_plot_diag_difchisq . blr_plot_diag_difdev . blr_plot_diag_fit . blr_plot_diag_influence . blr_plot_diag_leverage . blr_plot_difchisq_fitted . blr_plot_difchisq_leverage . blr_plot_difdev_fitted . blr_plot_difdev_leverage . blr_plot_fitted_leverage . blr_plot_leverage . blr_plot_leverage_fitted . blr_plot_pearson_residual . blr_plot_residual_fitted . blr_prep_dcrate_data . blr_prep_kschart_data . blr_prep_lchart_gmean . blr_prep_lorenz_data . blr_prep_roc_data . blr_regress . blr_residual_diagnostics . blr_roc_curve . blr_rsq_adj_count . blr_rsq_count . blr_rsq_cox_snell . blr_rsq_effron . blr_rsq_mcfadden . blr_rsq_mcfadden_adj . blr_rsq_mckelvey_zavoina . blr_rsq_nagelkerke . blr_segment . blr_segment_dist . blr_segment_twoway . blr_step_aic_backward . blr_step_aic_both . blr_step_aic_forward . blr_step_p_backward . blr_step_p_both . blr_step_p_forward . blr_test_hosmer_lemeshow . blr_test_lr . blr_woe_iv . blr_woe_iv_stats . hsb2 . stepwise . 
Some associated R codes: RcppExports.R . blr-backward-elimination.R . blr-bivariate-analysis.R . blr-blorr.R . blr-collinearity-diagnostics.R . blr-data-bank-marketing.R . blr-data-hsb.R . blr-data-stepwise.R . blr-error-messages.R . blr-forward-selection.R . blr-gains-table.R . blr-hosmer-lemeshow-test.R . blr-launch-app.R . blr-linktest.R . blr-lorenz-curve.R . blr-lrtest.R . blr-model-fit-stats.R . blr-model-validation.R . blr-multi-model-fit-stats.R . blr-output.R . blr-pairs.R . blr-plots-data.R . blr-plots.R . blr-regress-compute.R . blr-regress.R . blr-residual-diagnostics.R . blr-roc-curve.R . blr-stepwise-backward-regression.R . blr-stepwise-forward-regression.R . blr-stepwise-regression.R . blr-stepwise-selection.R . blr-utils.R . blr-woe-iv.R . zzz.R .  Full blorr package functions and examples
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