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 |
Reference manual: | regressoR.pdf |
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-devel (arm64): regressoR_4.0.3.tgz, r-release (arm64): regressoR_4.0.3.tgz, r-oldrel (arm64): regressoR_4.0.3.tgz, r-devel (x86_64): 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 |
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