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 [aut, cre], Diego Jiménez [ctb, prg], Andrés Navarro [ctb, prg]
MaintainerOldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
LicenseGPL (>= 2)
Version4.1.1
URL https://promidat.website/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("predictoR")

Try the predictoR package in your browser

Any scripts or data that you put into this service are public.

predictoR documentation built on Nov. 1, 2024, 1:08 a.m.