blorr: Tools for Developing Binary Logistic Regression Models (original) (raw)

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.

Version: 0.3.1
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
Published: 2024-11-11
DOI: 10.32614/CRAN.package.blorr
Author: Aravind Hebbali ORCID iD [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind at gmail.com>
BugReports: https://github.com/rsquaredacademy/blorr/issues
License: MIT + file
URL: https://blorr.rsquaredacademy.com/,https://github.com/rsquaredacademy/blorr
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: blorr results

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