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 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev zlib1g-dev Repository: https://promidat.r-universe.dev Date/Publication: 2023-06-28 19:31:39 UTC RemoteUrl: https://github.com/PROMiDAT/regressoR RemoteRef: HEAD RemoteSha: a111c08c36abd3a59b22da18769bb9cb68cdea0f NeedsCompilation: no Packaged: 2026-10-16 07:39:46 UTC; root 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