Package: traineR
Type: Package
Title: Predictive (Classification and Regression) Models Homologator
Version: 2.2.0
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")))
Depends: R (>= 4.1.0)
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), stringr (>= 1.4.0), adabag, glmnet,
        ROCR, gbm, ggplot2
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/,https://github.com/PROMiDAT/traineR
BugReports: https://github.com/PROMiDAT/traineR/issues
RoxygenNote: 7.2.3
Config/pak/sysreqs: libglpk-dev make libicu-dev libxml2-dev
Repository: https://promidat.r-universe.dev
Date/Publication: 2023-11-09 19:54:32 UTC
RemoteUrl: https://github.com/PROMiDAT/traineR
RemoteRef: HEAD
RemoteSha: b2ecd8843400addd1b474ea789a6ee5f043f101b
NeedsCompilation: no
Packaged: 2026-10-07 11:16:38 UTC; root
Author: Oldemar Rodriguez R. [aut, cre],
  Andres Navarro D. [aut],
  Ariel Arroyo S. [aut],
  Diego Jimenez A. [aut]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>