All | screening algorithms for SuperLearner |
coef.CV.SuperLearner | Function to get V-fold cross-validated risk estimate for super learner |
coef.SuperLearner | Super Learner Prediction Function |
CV.SuperLearner | Function to get V-fold cross-validated risk estimate for super learner |
CVFolds | Generate list of row numbers for each fold in the cross-validation |
listWrappers | list all wrapper functions in SuperLearner |
mcSuperLearner | Super Learner Prediction Function |
method.AUC | Method to estimate the coefficients for the super learner |
method.CC_LS | Method to estimate the coefficients for the super learner |
method.CC_nloglik | Method to estimate the coefficients for the super learner |
method.NNloglik | Method to estimate the coefficients for the super learner |
method.NNLS | Method to estimate the coefficients for the super learner |
method.NNLS2 | Method to estimate the coefficients for the super learner |
method.template | Method to estimate the coefficients for the super learner |
plot.CV.SuperLearner | Graphical display of the V-fold CV risk estimates |
predict.SL.bayesglm | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.caret | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.cforest | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.earth | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.gam | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.gbm | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.glm | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.glmnet | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.ipredbagg | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.knn | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.leekasso | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.loess | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.logreg | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.mean | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.nnet | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.polymars | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.randomForest | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.ridge | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.rpart | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.step | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.stepAIC | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.svm | Wrapper functions for prediction algorithms in SuperLearner |
predict.SL.template | Wrapper functions for prediction algorithms in SuperLearner |
predict.SuperLearner | Predict method for SuperLearner object |
print.CV.SuperLearner | Function to get V-fold cross-validated risk estimate for super learner |
print.summary.CV.SuperLearner | Summary Function for Cross-Validated Super Learner |
print.SuperLearner | Super Learner Prediction Function |
SampleSplitSuperLearner | Super Learner Prediction Function |
screen.corP | screening algorithms for SuperLearner |
screen.corRank | screening algorithms for SuperLearner |
screen.glmnet | screening algorithms for SuperLearner |
screen.randomForest | screening algorithms for SuperLearner |
screen.SIS | screening algorithms for SuperLearner |
screen.template | screening algorithms for SuperLearner |
screen.ttest | screening algorithms for SuperLearner |
SL.bayesglm | Wrapper functions for prediction algorithms in SuperLearner |
SL.caret | Wrapper functions for prediction algorithms in SuperLearner |
SL.caret.rpart | Wrapper functions for prediction algorithms in SuperLearner |
SL.cforest | Wrapper functions for prediction algorithms in SuperLearner |
SL.earth | Wrapper functions for prediction algorithms in SuperLearner |
SL.gam | Wrapper functions for prediction algorithms in SuperLearner |
SL.gbm | Wrapper functions for prediction algorithms in SuperLearner |
SL.glm | Wrapper functions for prediction algorithms in SuperLearner |
SL.glm.interaction | Wrapper functions for prediction algorithms in SuperLearner |
SL.glmnet | Wrapper functions for prediction algorithms in SuperLearner |
SL.ipredbagg | Wrapper functions for prediction algorithms in SuperLearner |
SL.knn | Wrapper functions for prediction algorithms in SuperLearner |
SL.leekasso | Wrapper functions for prediction algorithms in SuperLearner |
SL.loess | Wrapper functions for prediction algorithms in SuperLearner |
SL.logreg | Wrapper functions for prediction algorithms in SuperLearner |
SL.mean | Wrapper functions for prediction algorithms in SuperLearner |
SL.nnet | Wrapper functions for prediction algorithms in SuperLearner |
SL.polymars | Wrapper functions for prediction algorithms in SuperLearner |
SL.randomForest | Wrapper functions for prediction algorithms in SuperLearner |
SL.ridge | Wrapper functions for prediction algorithms in SuperLearner |
SL.rpart | Wrapper functions for prediction algorithms in SuperLearner |
SL.rpartPrune | Wrapper functions for prediction algorithms in SuperLearner |
SL.step | Wrapper functions for prediction algorithms in SuperLearner |
SL.step.forward | Wrapper functions for prediction algorithms in SuperLearner |
SL.step.interaction | Wrapper functions for prediction algorithms in SuperLearner |
SL.stepAIC | Wrapper functions for prediction algorithms in SuperLearner |
SL.svm | Wrapper functions for prediction algorithms in SuperLearner |
SL.template | Wrapper functions for prediction algorithms in SuperLearner |
snowSuperLearner | Super Learner Prediction Function |
summary.CV.SuperLearner | Summary Function for Cross-Validated Super Learner |
SuperLearner | Super Learner Prediction Function |
SuperLearner.control | Control parameters for the SuperLearner |
SuperLearner.CV.control | Control parameters for the cross validation steps in 'SuperLearner' |
SuperLearnerDocs | Show the NEWS file for the SuperLearner package |
SuperLearnerNews | Show the NEWS file for the SuperLearner package |
trimLogit | truncated-probabilities logit transformation |
write.method.template | Method to estimate the coefficients for the super learner |
write.screen.template | screening algorithms for SuperLearner |
write.SL.template | Wrapper functions for prediction algorithms in SuperLearner |