Package: blorr
Type: Package
Title: Tools for Developing Binary Logistic Regression Models
Version: 0.3.1
Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"), 
    comment = c(ORCID = "0000-0001-9220-9669"))
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.
Depends: R(>= 3.5)
Imports: car, data.table, ggplot2, gridExtra, Rcpp, stats, utils
Suggests: covr, grid, ineq, knitr, magrittr, rmarkdown, testthat (>=
        3.0.0), vdiffr, xplorerr
License: MIT + file LICENSE
URL: https://blorr.rsquaredacademy.com/,
        https://github.com/rsquaredacademy/blorr
BugReports: https://github.com/rsquaredacademy/blorr/issues
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
LinkingTo: Rcpp
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2024-11-11 11:47:50 UTC; HP
Author: Aravind Hebbali [aut, cre] (<https://orcid.org/0000-0001-9220-9669>)
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-11 12:40:05 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-02 17:45:53 UTC; unix
Archs: blorr.so.dSYM
