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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: 4.0.3
Depends: R (≥ 4.1)
Imports: DT (≥ 0.27), gbm (≥ 2.2.2), pls (≥ 2.8-1), dplyr (≥ 1.1.0), psych (≥ 2.4.6), 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: 2024-11-15
DOI: 10.32614/CRAN.package.regressoR
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 at ucr.ac.cr>
BugReports: https://github.com/PROMiDAT/predictoR/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://promidat.website/
NeedsCompilation: no
Materials: NEWS
CRAN checks: regressoR results

Documentation:

Reference manual: regressoR.pdf

Downloads:

Package source: regressoR_4.0.3.tar.gz
Windows binaries: r-devel: regressoR_4.0.3.zip, r-release: regressoR_4.0.3.zip, r-oldrel: regressoR_4.0.3.zip
macOS binaries: r-release (arm64): regressoR_4.0.3.tgz, r-oldrel (arm64): regressoR_4.0.3.tgz, r-release (x86_64): regressoR_4.0.3.tgz, r-oldrel (x86_64): regressoR_4.0.3.tgz
Old sources: regressoR archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.