MNLR
Interactive Shiny Presentation for Working with Multinomial Logistic Regression
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | MNLR_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
rolling linux/noble R-4.5 | MNLR_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
rolling source/ R- | MNLR_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
latest linux/jammy R-4.5 | MNLR_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
latest linux/noble R-4.5 | MNLR_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
latest source/ R- | MNLR_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
2026-04-26 source/ R- | MNLR_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
2026-04-23 source/ R- | MNLR_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | MNLR_0.1.0.zip |
1.6 MiB |
0.1.0 |
2025-04-20 source/ R- | MNLR_0.1.0.tar.gz |
1.6 MiB |