regressoR

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.

Installation

We are working to upload the package to CRAN, at the moment the available version is the development version from GitHub.

# install.packages("devtools")
devtools::install_github("promidat/regressor")

Start regressoR

library(regressoR)
init_regressor()