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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: | 4.1.1 |
| Depends: | R (≥ 4.1) |
| Imports: | DT (≥ 0.27), dplyr (≥ 1.1.0), shiny (≥ 1.7.4), golem (≥ 0.3.5), rlang (≥ 1.0.6), loadeR (≥ 1.0.1), config (≥ 0.3.1), glmnet (≥ 4.1-6), traineR (≥ 2.0.4), shinyjs (≥ 2.1.0), xgboost (≥ 1.7.3.1), shinyAce (≥ 0.4.2), echarts4r (≥ 0.4.4), htmltools (≥ 0.5.4), rpart.plot (≥ 3.1.1), colourpicker (≥ 1.1.1), shinydashboard (≥ 0.7.2), shinycustomloader (≥ 0.9.0), shinydashboardPlus (≥ 2.0.3) |
| Published: | 2024-10-31 |
| DOI: | 10.32614/CRAN.package.predictoR |
| Author: | Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb, prg], Andrés Navarro [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 |
| Language: | en-US |
| CRAN checks: | predictoR results |
| Reference manual: | predictoR.pdf |
| Package source: | predictoR_4.1.1.tar.gz |
| Windows binaries: | r-devel: predictoR_4.1.1.zip, r-release: predictoR_4.1.1.zip, r-oldrel: predictoR_4.1.1.zip |
| macOS binaries: | r-release (arm64): predictoR_4.1.1.tgz, r-oldrel (arm64): predictoR_4.1.1.tgz, r-release (x86_64): predictoR_4.1.1.tgz, r-oldrel (x86_64): predictoR_4.1.1.tgz |
| Old sources: | predictoR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.