Title: Regression Data Analysis System
Package: regressoR
Type: Package
Version: 3.0.0
Authors@R: c(
    person("Oldemar", "Rodriguez", 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")),
    person("Ariel", "Arroyo S.", role = c("ctb","prg")),
    person("Joseline", "Quiros M.", role = c("ctb","prg")))
Depends: R (>= 4.1)
Imports: DT (>= 0.27), pls (>= 2.8-1), dplyr (>= 1.1.0), shiny (>=
        1.7.4), golem (>= 0.3.5), rlang (>= 1.0.6), glmnet (>= 4.1-6),
        loadeR (>= 1.1.3), shinyjs (>= 2.1.0), traineR (>= 2.0.4),
        shinyAce (>= 0.4.2), echarts4r (>= 0.4.4), htmltools (>=
        0.5.4), rpart.plot (>= 3.1.1), shinydashboard (>= 0.7.2),
        shinycustomloader (>= 0.9.0), shinydashboardPlus (>= 2.0.3)
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
URL: https://promidat.website/,https://github.com/PROMiDAT/regressoR
BugReports: https://github.com/PROMiDAT/predictoR/issues
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2023-03-28 15:30:56 UTC; promidat06
Author: Oldemar Rodriguez [aut, cre],
  Andres Navarro D. [ctb, prg],
  Diego Jimenez A. [ctb, prg],
  Ariel Arroyo S. [ctb, prg],
  Joseline Quiros M. [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2023-04-03 23:10:02 UTC
Built: R 4.1.3; ; 2023-04-17 20:19:08 UTC; windows
