ada v2.0-5
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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.
Functions in ada
| Name | Description | |
| ada | Fitting Stochastic Boosting Models | |
| update.ada | Add more trees to an ada object | |
| predict.ada | Predict a data set using Ada | |
| soldat | Solubility Data | |
| plot.ada | Plots for Ada | |
| print.ada | Model Information for Ada | |
| summary.ada | Summary of model fit for arbitrary data (test, validation, or training) | |
| addtest | Add a test set to ada | |
| pairs.ada | Pairwise Plots and Variable Importancs Plot for Ada | |
| No Results! | ||
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Details
| Date | 2016-04-12 |
| License | GPL |
| NeedsCompilation | no |
| Packaged | 2016-05-12 22:47:05 UTC; mculp |
| Repository | CRAN |
| Date/Publication | 2016-05-13 11:40:44 |
| depends | base (>= 2.10) , R (>= 2.10) , rpart |
| Contributors | George Michailidis, Kjell Johnson, Mark Culp |
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