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: 0.3.0
Depends: R (≥ 3.5)
Imports: car, data.table, ggplot2, gridExtra, lest, Rcpp, stats, utils
LinkingTo: Rcpp
Suggests: covr, grid, ineq, knitr, magrittr, rmarkdown, testthat, vdiffr, xplorerr
Published: 2020-05-28
DOI: 10.32614/CRAN.package.blorr
Author: Aravind Hebbali ORCID iD [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: blorr results


Reference manual: blorr.pdf
Vignettes: A Short Introduction to the blorr Package


Package source: blorr_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): blorr_0.3.0.tgz, r-oldrel (arm64): blorr_0.3.0.tgz, r-release (x86_64): blorr_0.3.0.tgz, r-oldrel (x86_64): blorr_0.3.0.tgz
Old sources: blorr archive

Reverse dependencies:

Reverse suggests: xplorerr


Please use the canonical form to link to this page.