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")

2.0.5 by Oldemar Rodriguez, 7 days ago


https://www.promidat.com


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


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


Documentation:   PDF Manual  


GPL (>= 2) license


Imports DT, golem, shiny, rlang, config, xtable, glmnet, rpart, colourpicker, traineR, shinyjs, xgboost, rpart.plot, echarts4r, shinyAce, htmltools, shinydashboard, shinycustomloader, shinydashboardPlus


See at CRAN