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tmle.npvi (version 0.10.0)

Targeted Learning of a NP Importance of a Continuous Exposure

Description

Targeted minimum loss estimation (TMLE) of a non-parametric variable importance measure of a continuous exposure 'X' on an outcome 'Y', taking baseline covariates 'W' into account.

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Version

Install

install.packages('tmle.npvi')

Monthly Downloads

33

Version

0.10.0

License

GPL

Maintainer

Pierre Neuvial

Last Published

May 22nd, 2015

Functions in tmle.npvi (0.10.0)

SL.glm.g

SL Wrapper for Estimation of Cond. Prob. of X=0 Given W
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.theta

SL Wrapper for Estimation of Cond. Prob. of X=0 Given W
as.character.NPVI

Returns a Description
getObs.NPVI

Retrieves the Observations
learnMuAux

Estimation of Cond. Expect. of X Given (X!=x_0, W)
setConfLevel.NPVI

Sets Confidence Level
learnDevMu

Estimation of Cond. Expect. of (X-muW)*effIC1 Given W
learnG

Estimation of Cond. Prob. of X=x_0 Given W
learnTheta

Estimation of Cond. Expect. of Y given (X,W)
learnCondExpX2givenW

Estimation of Cond. Expect. of X^2 Given W
getSample

Generates Simulated Data
tmle.npvi

Targeted Minimum Loss Estimation of NPVI
predict.SL.glm.condExpXYgivenW

SL Wrapper for Estimation of Cond. Expect. of XY Given W
predict.SL.glm.condExpX2givenW

SL Wrapper for Estimation of Cond. Expect. of X^2 Given W
getPsi.NPVI

Returns Current Estimator
superLearningLib

superLearningLib
getPValue.NPVI

Calculates a p-value from a NPVI object
getLightFit

Makes Lighter Fitted Object
extractXW

Removes the Y Column from Matrix of Observations
learnDevG

Estimation of Cond. Expect. of ((X==0)-gW)*effIC1 Given W
getHistory.NPVI

Returns History of TMLE Procedure
learnCondExpXYgivenW

Estimation of Cond. Expect. of XY Given W
learnDevTheta

Estimation of Cond. Expect. of (Y-thetaXW)^2 Given (X,W)
learningLib

learningLib
getPValue.matrix

Calculates a p-value from a matrix object of type 'history'
getPsiSd.NPVI

Returns Current Estimated Standard Deviation of the Estimator
extractW

Extracts W Columns from Matrix of Observations
predict.SL.glm.g

SL Wrapper for Estimation of Cond. Prob. of X=0 Given W
tcga2012brca

Sample breast cancer data from TCGA
predict.SL.glm.theta

SL Wrapper for Estimation of Cond. Expect. of Y Given (X,W)