Tools for Developing Binary Logistic Regression Models R package blorr version 0.3.1 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. Software Depends: R(>= 3.5) Imports: car, data.table, ggplot2, gridExtra, Rcpp, stats, utils LinkingTo: Rcpp Suggests: covr, grid, ineq, knitr, magrittr, rmarkdown, testthat (>= 3.0.0), vdiffr, xplorerr Aravind Hebbali <hebbali.aravind@gmail.com> Comprehensive R Archive Network (CRAN) Aravind Hebbali [aut, cre] (ORCID: <https://orcid.org/0000-0001-9220-9669>) MIT + file LICENSE (https://CRAN.R-project.org/package=blorr/LICENSE) 2024-11-11 application/tgz https://CRAN.R-project.org/package=blorr doi:10.32614/CRAN.package.blorr