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: 2.0.1
Depends: R (≥ 4.1)
Imports: shiny (≥ 1.7.1), golem (≥ 0.3.1), echarts4r (≥ 0.4.1), shinyAce (≥ 0.3.3), shinydashboard (≥ 0.7.1), shinycustomloader (≥ 0.9.0), shinydashboardPlus (≥ 2.0.0), rlang, shinyjs (≥ 1.0), neuralnet (≥ 1.44.2), rpart (≥ 4.1-13), DT (≥ 0.5), randomForest (≥ 4.6-14), e1071 (≥ 1.7-0.1), kknn, glmnet (≥ 2.0-16), gbm (≥ 2.1.5), pls (≥ 2.7-1), htmltools (≥ 0.3.6), rpart.plot
Published: 2021-10-13
Author: Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg], Ariel Arroyo S. [ctb, prg]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez at ucr.ac.cr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.promidat.com
NeedsCompilation: no
Materials: NEWS
CRAN checks: regressoR results

Downloads:

Reference manual: regressoR.pdf
Package source: regressoR_2.0.1.tar.gz
Windows binaries: r-devel: regressoR_2.0.1.zip, r-release: regressoR_2.0.1.zip, r-oldrel: regressoR_1.2.1.zip
macOS binaries: r-release (arm64): regressoR_2.0.0.tgz, r-release (x86_64): regressoR_2.0.1.tgz, r-oldrel: regressoR_1.2.1.tgz
Old sources: regressoR archive

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