Tools for Developing Binary Logistic Regression Models [R package blorr version 0.3.1]

Aravind Hebbali

blorr: Tools for Developing Binary Logistic Regression Models

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年11月11日

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 LICENSE

URL: https://blorr.rsquaredacademy.com/, https://github.com/rsquaredacademy/blorr

NeedsCompilation: yes

Materials: README, NEWS

CRAN checks: blorr results

Documentation:

Reference manual: blorr.html , blorr.pdf

Vignettes: A Short Introduction to the blorr Package (source, R code)

Downloads:

Package source: blorr_0.3.1.tar.gz

Windows binaries: r-devel: blorr_0.3.1.zip, r-release: blorr_0.3.1.zip, r-oldrel: blorr_0.3.1.zip

macOS binaries: r-release (arm64): blorr_0.3.1.tgz, r-oldrel (arm64): blorr_0.3.1.tgz, r-release (x86_64): blorr_0.3.1.tgz, r-oldrel (x86_64): blorr_0.3.1.tgz

Old sources: blorr archive

Reverse dependencies:

Reverse imports: midoc

Reverse suggests: xplorerr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=blorr to link to this page.