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regressoR: Regression Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Getting started
Browse package contents
Package details |
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| Author | Oldemar Rodriguez [aut, cre], Diego Jimenez A. [ctb, prg] |
| Maintainer | Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr> |
| License | GPL (>= 2) |
| Version | 3.0.2 |
| URL | https://promidat.website/ https://github.com/PROMiDAT/regressoR |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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