R: Weighted Subspace Random Forest for Classification

# Weighted Subspace Random Forest for Classification

## Documentation for package ‘wsrf’ version 1.7.32

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

combine | Combine Ensembles of Trees
combine.wsrf | Combine Ensembles of Trees
correlation | Correlation
correlation.wsrf | Correlation
importance | Extract Variable Importance Measure
importance.wsrf | Extract Variable Importance Measure
oob.error.rate | Out-of-Bag Error Rate
oob.error.rate.wsrf | Out-of-Bag Error Rate
predict | Predict Method for 'wsrf' Model
predict.wsrf | Predict Method for 'wsrf' Model
print | Print Method for 'wsrf' Model
print.wsrf | Print Method for 'wsrf' Model
strength | Strength
strength.wsrf | Strength
subset | Subset of a Forest
subset.wsrf | Subset of a Forest
varCounts.wsrf | Number of Times of Variables Selected as Split Condition
wsrf | Build a Forest of Weighted Subspace Decision Trees
wsrf.default | Build a Forest of Weighted Subspace Decision Trees
wsrf.formula | Build a Forest of Weighted Subspace Decision Trees