API for achambaz/tmle.npvi
Targeted Learning of a NP Importance of a Continuous Exposure

Global functions
SL.glm.condExpX2givenW Source code
SL.glm.condExpXYgivenW Source code
SL.glm.g Source code
SL.glm.theta Source code
SL.nnls Source code
estimateDevG Source code
estimateDevMu Source code
estimateDevTheta Source code
estimateG Source code
estimateMuAux Source code
estimatePsi Source code
estimateTheta Source code
extract Source code
extractW Source code
extractXW Source code
fasterGetSimulationScheme Source code
getLightFit Source code
getSimulationScheme Source code
h2o.deeplearning.Rectifier Source code
h2o.deeplearning.Tanh Source code
h2o.glm.alpha.00 Source code
h2o.glm.alpha.05 Source code
h2o.glm.alpha.10 Source code
h2o.randomForest.1000x100 Source code
identifyUniqueEntries Source code
linearInterpolations Source code
partialCorrelation Source code
predict.SL.glm.condExpX2givenW Source code
predict.SL.glm.condExpXYgivenW Source code
predict.SL.glm.g Source code
predict.SL.glm.theta Source code
predict.SL.nnls Source code
simulateData Source code
simulateParsimoniouslyXgivenW Source code
simulateParsimoniouslyYgivenXW Source code
tcga2012brca Man page
threshold Source code
tmle.npvi Source code
validateArgumentIdObsWeights Source code
validateArgumentObs Source code
achambaz/tmle.npvi documentation built on June 3, 2017, 12:48 p.m.