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: | 1.1.7 |
| Depends: | R (≥ 3.5) |
| Imports: | shiny (≥ 1.2.0), shinyAce (≥ 0.3.3), shinydashboardPlus (≥ 0.6.0), shinyWidgets (≥ 0.4.4), shinyjs (≥ 1.0), flexdashboard (≥ 0.5.1.1), neuralnet (≥ 1.44.2), rpart (≥ 4.1-13), rattle (≥ 5.2.0), xgboost (≥ 0.81.0.1), colourpicker (≥ 1.0), DT (≥ 0.5), randomForest (≥ 4.6-14), e1071 (≥ 1.7-0.1), kknn (≥ 1.3.1), corrplot (≥ 0.84), ROCR (≥ 1.0-7), glmnet (≥ 2.0-16), gbm (≥ 2.1.5), pls (≥ 2.7-1), zip (≥ 2.0.0), ggplot2 (≥ 3.1.0), dplyr (≥ 0.8.0.1), htmltools (≥ 0.3.6) |
| Suggests: | forcats, gridExtra, tibble, scales, scatterplot3d, psych, dummies, testthat |
| Published: | 2019-06-11 |
| Author: | Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg] |
| Maintainer: | Oldemar Rodriguez R. <oldemar.rodriguez at ucr.ac.cr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.promidat.com |
| NeedsCompilation: | no |
| CRAN checks: | regressoR results |
| Reference manual: | regressoR.pdf |
| Package source: | regressoR_1.1.7.tar.gz |
| Windows binaries: | r-devel: regressoR_1.1.7.zip, r-release: regressoR_1.1.7.zip, r-oldrel: regressoR_1.1.7.zip |
| OS X binaries: | r-release: regressoR_1.1.7.tgz, r-oldrel: regressoR_1.1.7.tgz |
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