Title: Predictive Data Analysis System
Package: predictoR
Type: Package
Version: 1.1.0
Author: Oldemar Rodriguez R. with contributions from Diego Jimenez A. and Andres Navarro D.
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
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), tidyverse (>= 1.2.1), neuralnet (>=
        1.44.2), rpart (>= 4.1-13), rattle (>= 5.2.0), xgboost (>=
        0.81.0.1), ada (>= 2.0-5), colourpicker (>= 1.0), DT (>= 0.5),
        randomForest (>= 4.6-14), e1071 (>= 1.7-0.1), kknn (>= 1.3.1),
        glmnet (>= 2.0-16), corrplot (>= 0.84), ROCR (>= 1.0-7), zip
        (>= 1.0.0)
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. 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: http://www.promidat.com
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-24 22:08:08 UTC; promidat04
Repository: CRAN
Date/Publication: 2019-06-24 22:50:03 UTC
