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 |
Documentation:
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