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

Package details

AuthorOldemar Rodriguez [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg], Ariel Arroyo S. [ctb, prg], Joseline Quiros M. [ctb, prg]
MaintainerOldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
LicenseGPL (>= 2)
Version4.0.3
URL https://promidat.website/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("regressoR")

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regressoR documentation built on April 3, 2025, 9:32 p.m.