PROMiDAT/predictoR: Predictive Data Analysis System

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.

Getting started

Package details

AuthorOldemar Rodriguez R. with contributions from Diego Jimenez A. and Andres Navarro D.
MaintainerOldemar Rodriguez <[email protected]>
LicenseGPL (>=2)
Version1.1.1
URL http://www.promidat.com
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("PROMiDAT/predictoR")
PROMiDAT/predictoR documentation built on Aug. 19, 2019, 7:56 a.m.