Package: predictoR
Title: Predictive Data Analysis System
Version: 3.0.5
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")))
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
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev zlib1g-dev
Repository: https://promidat.r-universe.dev
Date/Publication: 2023-11-28 17:30:37 UTC
RemoteUrl: https://github.com/PROMiDAT/predictoR
RemoteRef: HEAD
RemoteSha: e3bef544bbe905a4efb601de6bce5bd07ef2c0ab
NeedsCompilation: no
Packaged: 2026-10-07 09:52:46 UTC; root
Author: Oldemar Rodriguez [aut, cre],
  Diego Jiménez [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>