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: | 1.2.1 |
| Depends: | R (≥ 3.5) |
| Imports: | shiny (≥ 1.2.0), shinyAce (≥ 0.3.3), shinydashboardPlus (≥ 2.0.0), flexdashboard (≥ 0.5.1.1), shinyWidgets (≥ 0.4.4), neuralnet (≥ 1.44.2), rpart (≥ 4.1-13), rpart.plot, e1071 (≥ 1.7-0.1), kknn (≥ 1.3.1), corrplot (≥ 0.84), glmnet (≥ 2.0-16), ggplot2 (≥ 3.1.0), dplyr (≥ 0.8.0.1), htmltools (≥ 0.3.6), forcats, gbm, stringr, xtable, rattle |
| Suggests: | randomForest, DT, colourpicker, shinyjs, gridExtra, tibble, scales, scatterplot3d, psych, dummies, testthat, pls |
| Published: | 2021-04-06 |
| 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: | README |
| CRAN checks: | regressoR results |
| Reference manual: | regressoR.pdf |
| Package source: | regressoR_1.2.1.tar.gz |
| Windows binaries: | r-devel: regressoR_1.2.1.zip, r-release: regressoR_1.2.1.zip, r-oldrel: regressoR_1.2.1.zip |
| macOS binaries: | r-release: regressoR_1.2.1.tgz, r-oldrel: regressoR_1.2.1.tgz |
| Old sources: | regressoR archive |
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