Package: traineR
Type: Package
Title: Predictive (Classification and Regression) Models Homologator
Version: 2.2.12
Authors@R: c(
    person("Oldemar", "Rodriguez R.", email = "oldemar.rodriguez@ucr.ac.cr", role = c("aut","cre")),
    person("Andres", "Navarro D.", role = c("aut")),
    person("Ariel", "Arroyo S.", role = c("aut")),
    person("Diego", "Jimenez A.", role = c("aut")),
    person("Jennifer", "Lobo V.", role = c("aut")))
Depends: R (>= 4.1)
Imports: neuralnet (>= 1.44.2), rpart (>= 4.1-13), xgboost (>=
        0.81.0.1), randomForest (>= 4.6-14), e1071 (>= 1.7-0.1), kknn
        (>= 1.4.1), dplyr (>= 1.0.0), MASS (>= 7.3-53), nnet (>=
        7.3-12), stringr (>= 1.4.0), rlang, adabag, glmnet, ROCR, gbm,
        ggplot2
Suggests: rgl
Description: Methods to unify the different ways of creating predictive models and their different predictive formats for classification and regression. It includes  methods such as K-Nearest Neighbors Schliep, K. P. (2004) <doi:10.5282/ubm/epub.1769>, Decision Trees Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (2017) <doi:10.1201/9781315139470>,  ADA Boosting Esteban Alfaro, Matias Gamez, Noelia García (2013) <doi:10.18637/jss.v054.i02>, Extreme Gradient Boosting Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>,  Random Forest Breiman (2001) <doi:10.1023/A:1010933404324>, Neural Networks Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Support Vector Machines Bennett, K. P. & Campbell, C. (2000) <doi:10.1145/380995.380999>, Bayesian Methods Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995) <doi:10.1201/9780429258411>,  Linear Discriminant Analysis Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Quadratic Discriminant Analysis Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>,  Logistic Regression Dobson, A. J., & Barnett, A. G. (2018) <doi:10.1201/9781315182780> and Penalized Logistic Regression Friedman, J. H., Hastie, T., & Tibshirani, R. (2010) <doi:10.18637/jss.v033.i01>.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://promidat.website/
BugReports: https://github.com/PROMiDAT/traineR/issues
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-03-02 17:13:29 UTC; r3291508
Author: Oldemar Rodriguez R. [aut, cre],
  Andres Navarro D. [aut],
  Ariel Arroyo S. [aut],
  Diego Jimenez A. [aut],
  Jennifer Lobo V. [aut]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2026-03-03 08:40:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:59:22 UTC; unix
