Package: traineR
Type: Package
Title: Predictive Models Homologator
Version: 1.0.1
Authors@R: c(
    person("Oldemar", "Rodriguez R.", email = "oldemar.rodriguez@ucr.ac.cr", role = c("aut","cre")),
    person("Andres", "Navarro D.", role = c("ctb","prg")))
Depends: R (>= 3.5)
Imports: neuralnet (>= 1.44.2), rpart (>= 4.1-13), xgboost (>=
        0.81.0.1), randomForest (>= 4.6-14), e1071 (>= 1.7-0.1), kknn
        (>= 1.3.1), dplyr (>= 0.8.0.1), ada (>= 2.0-5), nnet (>=
        7.3-12), dummies (>= 1.5.6), stringr (>= 1.4.0)
Suggests: knitr, rmarkdown, rpart.plot
Description: 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 and Bayesian Methods.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://www.promidat.com
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-29 18:02:40 UTC; promidat05
Author: Oldemar Rodriguez R. [aut, cre],
  Andres Navarro D. [ctb, prg]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2020-10-29 23:00:03 UTC
