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
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

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