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.


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Reference manual

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install.packages("predictoR")

1.1.0 by Oldemar Rodriguez, 23 days ago


http://www.promidat.com


Browse source code at https://github.com/cran/predictoR


Authors: Oldemar Rodriguez R. with contributions from Diego Jimenez A. and Andres Navarro D.


Documentation:   PDF Manual  


GPL (>= 2) license


Imports shiny, shinyAce, shinydashboardPlus, shinyWidgets, shinyjs, flexdashboard, tidyverse, neuralnet, rpart, rattle, xgboost, ada, colourpicker, DT, randomForest, e1071, kknn, glmnet, corrplot, ROCR, zip


See at CRAN