Package: ada 2.0-5
ada: The R Package Ada for Stochastic Boosting
Performs discrete, real, and gentle boost under both exponential and logistic loss on a given data set. The package ada provides a straightforward, well-documented, and broad boosting routine for classification, ideally suited for small to moderate-sized data sets.
Authors:
ada_2.0-5.tar.gz
ada_2.0-5.zip(r-4.5)ada_2.0-5.zip(r-4.4)ada_2.0-5.zip(r-4.3)
ada_2.0-5.tgz(r-4.4-any)ada_2.0-5.tgz(r-4.3-any)
ada_2.0-5.tar.gz(r-4.5-noble)ada_2.0-5.tar.gz(r-4.4-noble)
ada_2.0-5.tgz(r-4.4-emscripten)ada_2.0-5.tgz(r-4.3-emscripten)
ada.pdf |ada.html✨
ada/json (API)
| # Install 'ada' in R: |
| install.packages('ada', repos = c('https://mvculp.r-universe.dev', 'https://cloud.r-project.org')) |
- soldat - Solubility Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:2569456040. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 15 2024 |
| R-4.5-win | NOTE | Nov 15 2024 |
| R-4.5-linux | NOTE | Nov 15 2024 |
| R-4.4-win | NOTE | Nov 15 2024 |
| R-4.4-mac | NOTE | Nov 15 2024 |
| R-4.3-win | NOTE | Nov 15 2024 |
| R-4.3-mac | NOTE | Nov 15 2024 |
Dependencies:rpart
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fitting Stochastic Boosting Models | ada ada.default ada.discrete ada.formula ada.gentle ada.logit ada.predst ada.qtree1 ada.qtree2 ada.real |
| Add a test set to ada | addtest |
| Pairwise Plots and Variable Importancs Plot for Ada | pairs.ada varplot |
| Plots for Ada | plot.ada |
| Predict a data set using Ada | predict.ada |
| Model Information for Ada | print.ada |
| Solubility Data | soldat |
| Summary of model fit for arbitrary data (test, validation, or training) | summary.ada |
| Add more trees to an ada object | update.ada |
