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BLRShiny: Interactive Document for Working with Binary Logistic Regression Analysis

An interactive document on the topic of binary logistic regression analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://analyticmodels.shinyapps.io/BinaryLogisticRegressionModelling/>.

Version: 0.1.0
Depends: R (≥ 3.0.3)
Imports: shiny, rmarkdown, dplyr, datasets, caret, e1071, rhandsontable, ggplot2
Published: 2019-05-09
DOI: 10.32614/CRAN.package.BLRShiny
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar at tapmi.edu.in>
License: GPL-2
NeedsCompilation: no
CRAN checks: BLRShiny results

Documentation:

Reference manual: BLRShiny.pdf

Downloads:

Package source: BLRShiny_0.1.0.tar.gz
Windows binaries: r-devel: BLRShiny_0.1.0.zip, r-release: BLRShiny_0.1.0.zip, r-oldrel: BLRShiny_0.1.0.zip
macOS binaries: r-release (arm64): BLRShiny_0.1.0.tgz, r-oldrel (arm64): BLRShiny_0.1.0.tgz, r-release (x86_64): BLRShiny_0.1.0.tgz, r-oldrel (x86_64): BLRShiny_0.1.0.tgz

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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.