Package: predictoR
Title: Predictive Data Analysis System
Version: 3.0.1
Authors@R: c(person(given = "Oldemar", family = "Rodriguez", role = c("aut", "cre"), email = "oldemar.rodriguez@ucr.ac.cr"),
            person(given = "Diego", family = "Jiménez", role = c("ctb", "prg")),
            person(given = "Andres", family = "Navarro", role = c("ctb", "prg")),
            person(given = "Joseline", family = "Quirós", role = c("ctb", "prg")))
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)
Imports: DT (>= 0.27), dplyr (>= 1.1.0), shiny (>= 1.7.4), golem (>=
        0.3.5), rlang (>= 1.0.6), loadeR (>= 1.0.1), config (>= 0.3.1),
        xtable (>= 1.8-4), glmnet (>= 4.1-6), traineR (>= 2.0.4),
        shinyjs (>= 2.1.0), xgboost (>= 1.7.3.1), shinyAce (>= 0.4.2),
        echarts4r (>= 0.4.4), htmltools (>= 0.5.4), rpart.plot (>=
        3.1.1), colourpicker (>= 1.1.1), shinydashboard (>= 0.7.2),
        shinycustomloader (>= 0.9.0), shinydashboardPlus (>= 2.0.3)
Depends: R (>= 4.1)
Encoding: UTF-8
URL: https://promidat.website/,https://github.com/PROMiDAT/predictoR
BugReports: https://github.com/PROMiDAT/predictoR/issues
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2023-03-28 15:06:22 UTC; promidat06
Author: Oldemar Rodriguez [aut, cre],
  Diego Jiménez [ctb, prg],
  Andres Navarro [ctb, prg],
  Joseline Quirós [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2023-03-28 22:10:06 UTC
