Package: traineR
Type: Package
Title: Predictive Models Homologator
Version: 1.6.3
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")),
    person("Ariel", "Arroyo S.", 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), MASS (>= 7.3-53), ada (>=
        2.0-5), nnet (>= 7.3-12), dummies (>= 1.5.6), stringr (>=
        1.4.0), adabag, glmnet, ROCR, ggplot2, scales, glue, grDevices
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, Bayesian Methods, Linear Discriminant Analysis and Quadratic Discriminant Analysis, Logistic Regression, Penalized Logistic Regression.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://www.promidat.com
RoxygenNote: 7.1.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-04-05 16:59:09 UTC; promidat05
Author: Oldemar Rodriguez R. [aut, cre],
  Andres Navarro D. [ctb, prg],
  Ariel Arroyo S. [ctb, prg]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2022-04-05 23:10:02 UTC
Built: R 4.0.5; ; 2022-04-06 11:31:59 UTC; unix
