Man pages for tedwestling/survSuperLearner
Super Learning for Conditional Survival Functions with Right-Censored Data

predict.survSL.coxphPrediction functions for Cox regression prediction algorithm
predict.survSL.expregPrediction functions for parametric survival model prediction...
predict.survSL.gamPrediction functions for generalized additive Cox regression...
predict.survSL.kmPrediction functions for Kaplan-Meier prediction algorithm
predict.survSL.pchregPrediction functions for piecewise constant hazard regression
predict.survSL.rfsrcPrediction functions for survival random forest prediction...
predict.survSuperLearnerPrediction function for survival Super Learner
survlistWrappersList wrappers in survSuperLearner
survscreen.glmnetWrapper function for glmnet screening algorithm
survscreen.margWrapper function for marginal Cox regression screening...
survscreen.templateWrapper functions for screening algorithms in...
survSL.coxphWrapper function for Cox proportional hazards regression...
survSL.expregWrapper function for zero-inflated parametric survival...
survSL.gamWrapper function for generalized additive Cox regression...
survSL.kmWrapper function for Kaplan-Meier prediction algorithm
survSL.pchregWrapper function for piecewise constant hazard regression
survSL.rfsrcWrapper function for Random Survival Forests prediction...
survSL.templateWrapper functions for prediction algorithms in...
survSuperLearnerSuper Learner for conditional survival functions
survSuperLearner.controlControl parameters for the survival Super Learner
survSuperLearner.CV.controlControl parameters for the cross validation steps in survival...
tedwestling/survSuperLearner documentation built on Dec. 12, 2024, 4:16 p.m.