predictoR: Predictive Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
| Version: |
2.0.7 |
| Depends: |
R (≥ 4.1) |
| Imports: |
DT (≥ 0.19), golem (≥ 0.3.1), shiny (≥ 1.7.1), rlang (≥
0.4.11), config (≥ 0.3.1), xtable (≥ 1.8-4), glmnet (≥
4.1-2), rpart (≥ 4.1-15), colourpicker (≥ 1.1.1), traineR (≥
1.6.2), shinyjs (≥ 2.0.0), xgboost (≥ 1.4.1.1), rpart.plot (≥ 3.0.9), echarts4r (≥ 0.4.2), shinyAce (≥ 0.4.1), htmltools (≥ 0.5.2), shinydashboard (≥ 0.7.2), shinycustomloader (≥ 0.9.0), shinydashboardPlus (≥ 2.0.3) |
| Published: |
2022-04-29 |
| Author: |
Oldemar Rodriguez [aut, cre],
Andres Navarro [aut, prg],
Joseline Quirós [aut, prg],
Diego Jiménez [ctb, prg] |
| Maintainer: |
Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://www.promidat.com |
| NeedsCompilation: |
no |
| CRAN checks: |
predictoR results |
Documentation:
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