DESCRIPTION

Title: Regression Data Analysis System
Package: regressoR
Type: Package
Version: 3.0.2
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