Predictive Models Homologator

Methods to unify the different ways of creating predictive models and their different predictive formats. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines, Bayesian Methods, Linear Discriminant Analysis and Quadratic Discriminant Analysis, Logistic Regression, Penalized Logistic Regression.


Reference manual

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1.6.1 by Oldemar Rodriguez R., 16 days ago

Browse source code at

Authors: Oldemar Rodriguez R. [aut, cre] , Andres Navarro D. [ctb, prg] , Ariel Arroyo S. [ctb, prg]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports neuralnet, rpart, xgboost, randomForest, e1071, kknn, dplyr, MASS, ada, nnet, dummies, stringr, adabag, glmnet, ROCR, ggplot2, scales, glue, grDevices

Suggests knitr, rmarkdown, rpart.plot

See at CRAN