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 [aut, cre]
Maintainer:	Aravind Hebbali <hebbali.aravind at gmail.com>
BugReports:	https://github.com/rsquaredacademy/blorr/issues
License:	MIT + file LICENSE
URL:	URL: https://blorr.rsquaredacademy.com/, https://github.com/rsquaredacademy/blorr
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	blorr results

Documentation:

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

Downloads:

Package source:	blorr_0.3.0.tar.gz
Windows binaries:	r-devel: blorr_0.3.0.zip, r-release: blorr_0.3.0.zip, r-oldrel: blorr_0.3.0.zip
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 imports:	midoc
Reverse suggests:	xplorerr

Linking:

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