MNLR: Interactive Shiny Presentation for Working with Multinomial Logistic Regression

An interactive presentation on the topic of Multinomial Logistic Regression. It is helpful to those who want to learn Multinomial Logistic Regression quickly and get a hands on experience. The presentation has a template for solving problems on Multinomial Logistic Regression. Runtime examples are provided in the package function as well as at <>.

Version: 0.1.0
Depends: R (≥ 3.0.3)
Imports: shiny, rmarkdown, nnet, e1071, caret, datasets, stats
Published: 2019-03-23
DOI: 10.32614/CRAN.package.MNLR
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar at>
License: GPL-2
NeedsCompilation: no
CRAN checks: MNLR results


Reference manual: MNLR.pdf


Package source: MNLR_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MNLR_0.1.0.tgz, r-oldrel (arm64): MNLR_0.1.0.tgz, r-release (x86_64): MNLR_0.1.0.tgz, r-oldrel (x86_64): MNLR_0.1.0.tgz


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