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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 |
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 |
Reference manual: | blorr.pdf |
Vignettes: |
A Short Introduction to the blorr Package |
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 suggests: | xplorerr |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.