Title: Regression Data Analysis System
Package: regressoR
Type: Package
Version: 1.1.9
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("Diego", "Jimenez A.", role = c("ctb","prg")))
Depends: R (>= 3.5)
Imports: shiny (>= 1.2.0), shinyAce (>= 0.3.3), shinydashboardPlus (>=
        0.6.0), shinyWidgets (>= 0.4.4), shinyjs (>= 1.0),
        flexdashboard (>= 0.5.1.1), neuralnet (>= 1.44.2), rpart (>=
        4.1-13), rattle (>= 5.2.0), xgboost (>= 0.81.0.1), colourpicker
        (>= 1.0), DT (>= 0.5), randomForest (>= 4.6-14), e1071 (>=
        1.7-0.1), kknn (>= 1.3.1), corrplot (>= 0.84), ROCR (>= 1.0-7),
        glmnet (>= 2.0-16), gbm (>= 2.1.5), pls (>= 2.7-1), zip (>=
        2.0.0), ggplot2 (>= 3.1.0), dplyr (>= 0.8.0.1), htmltools (>=
        0.3.6)
Suggests: forcats, gridExtra, tibble, scales, scatterplot3d, psych,
        dummies, testthat
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: http://www.promidat.com
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-01 15:36:39 UTC; promidat05
Author: Oldemar Rodriguez R. [aut, cre],
  Andres Navarro D. [ctb, prg],
  Diego Jimenez A. [ctb, prg]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2020-07-01 17:00:02 UTC
