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")

1.1.9 by Oldemar Rodriguez, 4 months ago


https://www.promidat.com


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


Authors: Oldemar Rodriguez [aut, cre] , Andrés Navarro [ctb, prg] , Diego Jiménez [ctb, prg] , Joseline Quirós [ctb, prg]


Documentation:   PDF Manual  


GPL (>= 2) license


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

Suggests corrplot, zip, farver


See at CRAN