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MNLR  

Interactive Shiny Presentation for Working with Multinomial Logistic Regression
View on CRAN: Click here


Download and install MNLR package within the R console
Install from CRAN:
install.packages("MNLR")

Install from Github:
library("remotes")
install_github("cran/MNLR")

Install by package version:
library("remotes")
install_version("MNLR", "0.1.0")



Attach the package and use:
library("MNLR")
Maintained by
Kartikeya Bolar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-23
Latest Update: 2019-03-23
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 .
How to cite:
Kartikeya Bolar (2019). MNLR: Interactive Shiny Presentation for Working with Multinomial Logistic Regression. R package version 0.1.0, https://cran.r-project.org/web/packages/MNLR. Accessed 25 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited MNLR R package
View MNLR citation profile
Other R packages that MNLR depends, imports, suggests or enhances
Complete documentation for MNLR
Functions, R codes and Examples using the MNLR R package
Some associated functions: MNLR . 
Some associated R codes: MNLR.R .  Full MNLR package functions and examples
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