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
LazyData: TRUE
Depends: R (>= 3.0.3)
Imports: shiny,rmarkdown,nnet,e1071,caret,datasets,stats
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-03-22 13:28:49 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-03-23 10:06:11 UTC
Built: R 4.0.5; ; 2022-04-21 09:29:57 UTC; windows
