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.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.bart |
Wrapper functions for prediction algorithms in SuperLearner |
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.DSA |
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.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 |
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.bart |
Wrapper functions for prediction algorithms in 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.DSA |
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.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.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 |