Package: MNLR
Type: Package
Title: Interactive Shiny Presentation for Working with Multinomial
        Logistic Regression
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: 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
        <https://jarvisatharva.shinyapps.io/MultinomPresentation>.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.0.3)
Imports: shiny,rmarkdown,nnet,e1071,caret,datasets,stats
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2026-10-18 07:53:00 UTC; root
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://kartikeyabolar.r-universe.dev
Date/Publication: 2019-03-23 09:06:11 UTC
RemoteUrl: https://github.com/cran/MNLR
RemoteRef: HEAD
RemoteSha: 10ceaecedc27d9754c181ec112017e5532b8e805