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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

Launch MNLR Interface

Description

MNLR() loads interactive user interface built using R shiny.

Usage

MNLR()

Details

Start MNLR

The interactive user interface is to provide an easy way for people who are learning Multinomial Logistic Regression. Includes example data for testing out a few example analysis.

Value

Nothing

Examples

if(interactive()){
library(rmarkdown)
MNLR()
}

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.
Health stats visible at Monitor.