This package is trying to implement Top Scoring Pair based methods for classification including LDCA, TSP-tree, TSP-random forest and TSP gradient boosting algorithm.
|Author||Xiaolin Yang,Han Liu|
|Date of publication||2012-08-21 06:34:06|
|Maintainer||Xiaolin Yang <firstname.lastname@example.org>|
|License||GPL (>= 2)|
cv.LDCA: Cross validation for LDCA
LDCA: Linear Discriminant Analysis based on Top Scoring Pair
predict.cv.LDCA: prediction function for cv.LDCA
predict.LDCA: predict function for LDCA
predict.tsp.gbm: prediction function for tsp.gbm
predict.tsp.randomForest: prediction function for tsp.randomForest
predict.tsp.tree: prediction function for tsp.tree
print.cv.LDCA: print function for cv.LDCA
print.LDCA: print the LDCA object
tsp.gbm: Fits generalized boosted logistic regression models based on...
tsp-package: Top Scoring Pair based methods for classification.
tsp.randomForest: Classification with Random Forest based on Top Scoring Pairs
tsp.tree: Fit a Classification Tree based on Top Scoring Pairs.