as.character.NPVI | Returns a Description |
extractW | Extracts W Columns from Matrix of Observations |
extractXW | Removes the Y Column from Matrix of Observations |
getHistory.NPVI | Returns History of TMLE Procedure |
getLightFit | Makes Lighter Fitted Object |
getObs.NPVI | Retrieves the Observations |
getPsi.NPVI | Returns Current Estimator |
getPsiSd.NPVI | Returns Current Estimated Standard Deviation of the Estimator |
getPValue.matrix | Calculates a p-value from a matrix object of type 'history' |
getPValue.NPVI | Calculates a p-value from a NPVI object |
getSample | Generates Simulated Data |
learnCondExpX2givenW | Estimation of Cond. Expect. of X^2 Given W |
learnCondExpXYgivenW | Estimation of Cond. Expect. of XY Given W |
learnDevG | Estimation of Cond. Expect. of ((X==0)-gW)*effIC1 Given W |
learnDevMu | Estimation of Cond. Expect. of (X-muW)*effIC1 Given W |
learnDevTheta | Estimation of Cond. Expect. of (Y-thetaXW)^2 Given (X,W) |
learnG | Estimation of Cond. Prob. of X=x_0 Given W |
learningLib | learningLib |
learnMuAux | Estimation of Cond. Expect. of X Given (X!=x_0, W) |
learnTheta | Estimation of Cond. Expect. of Y given (X,W) |
predict.SL.glm.condExpX2givenW | SL Wrapper for Estimation of Cond. Expect. of X^2 Given W |
predict.SL.glm.condExpXYgivenW | SL Wrapper for Estimation of Cond. Expect. of XY Given W |
predict.SL.glm.g | SL Wrapper for Estimation of Cond. Prob. of X=0 Given W |
predict.SL.glm.theta | SL Wrapper for Estimation of Cond. Expect. of Y Given (X,W) |
setConfLevel.NPVI | Sets Confidence Level |
SL.glm.condExpX2givenW | SL Wrapper for Estimation of Cond. Expect. of X^2 Given W |
SL.glm.condExpXYgivenW | SL Wrapper for Estimation of Cond. Expect. of XY Given W |
SL.glm.g | SL Wrapper for Estimation of Cond. Prob. of X=0 Given W |
SL.glm.theta | SL Wrapper for Estimation of Cond. Prob. of X=0 Given W |
superLearningLib | superLearningLib |
tcga2012brca | Sample breast cancer data from TCGA |
tmle.npvi. | Targeted Minimum Loss Estimation of NPVI |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.