regressoR {regressoR} | R Documentation |
Regression Data Analysis System
Description
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.
Details
Package: | regressoR |
Type: | Package |
Version: | 4.0.2 |
Date: | 2024-11-15 |
License: | GPL (>=2) |
Author(s)
Oldemar Rodriguez Rojas
Maintainer: Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>
See Also
Useful links:
[Package regressoR version 4.0.3 Index]