| 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()
}