regressoR: Regression Data Analysis System

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.

Version: 3.0.2
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)
Published: 2023-06-29
Author: Oldemar Rodriguez [aut, cre], Diego Jimenez A. [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr>
BugReports: https://github.com/PROMiDAT/predictoR/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://promidat.website/,https://github.com/PROMiDAT/regressoR
NeedsCompilation: no
Materials: NEWS
CRAN checks: regressoR results

Documentation:

Reference manual: regressoR.pdf

Downloads:

Package source: regressoR_3.0.2.tar.gz
Windows binaries: r-devel: regressoR_3.0.2.zip, r-release: regressoR_3.0.2.zip, r-oldrel: regressoR_3.0.2.zip
macOS binaries: r-release (arm64): regressoR_3.0.2.tgz, r-oldrel (arm64): regressoR_3.0.2.tgz, r-release (x86_64): regressoR_3.0.2.tgz
Old sources: regressoR archive

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