tmle.npvi: Targeted Learning of a NP Importance of a Continuous Exposure

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.

AuthorAntoine Chambaz, Pierre Neuvial
Date of publication2015-05-22 18:59:02
MaintainerPierre Neuvial <pierre.neuvial@genopole.cnrs.fr>
LicenseGPL
Version0.10.0

View on CRAN

Man pages

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

Functions

as.character Man page
as.character.NPVI Man page
extractW Man page
extractXW Man page
getHistory Man page
getHistory.NPVI Man page
getLightFit Man page
getObs Man page
getObs.NPVI Man page
getPsi Man page
getPsi.NPVI Man page
getPsiSd Man page
getPsiSd.NPVI Man page
getPValue Man page
getPValue.matrix Man page
getPValue.NPVI Man page
getSample Man page
learnCondExpX2givenW Man page
learnCondExpXYgivenW Man page
learnDevG Man page
learnDevMu Man page
learnDevTheta Man page
learnG Man page
learningLib Man page
learnMuAux Man page
learnTheta Man page
predict.SL.glm.condExpX2givenW Man page
predict.SL.glm.condExpXYgivenW Man page
predict.SL.glm.g Man page
predict.SL.glm.theta Man page
setConfLevel Man page
setConfLevel.NPVI Man page
SL.glm.condExpX2givenW Man page
SL.glm.condExpXYgivenW Man page
SL.glm.g Man page
SL.glm.theta Man page
superLearningLib Man page
tcga2012brca Man page
tmle.npvi Man page
tmle.npvi Man page

Files

tmle.npvi
tmle.npvi/inst
tmle.npvi/inst/CITATION
tmle.npvi/inst/NEWS
tmle.npvi/inst/testScripts
tmle.npvi/inst/testScripts/tcga2012brca
tmle.npvi/inst/testScripts/tcga2012brca/03.pValues.R
tmle.npvi/inst/testScripts/tcga2012brca/03b.plotPartialCorrelations.R
tmle.npvi/inst/testScripts/tcga2012brca/findGenesIndices.pl
tmle.npvi/inst/testScripts/tcga2012brca/02.tmle.npvi.R
tmle.npvi/inst/testScripts/tcga2012brca/01.merge,manyCG.R
tmle.npvi/inst/testScripts/tcga2012brca/01.1.exportGeneLevelData.R
tmle.npvi/inst/testScripts/tcga2012brca/04.propZero.R
tmle.npvi/inst/testScripts/tcga2012brca/00.functions.R
tmle.npvi/inst/doc
tmle.npvi/inst/doc/tmle-npvi.Rnw
tmle.npvi/inst/doc/tmle-npvi.pdf
tmle.npvi/inst/doc/tmle-npvi.R
tmle.npvi/inst/system
tmle.npvi/inst/system/installSuggestedPackages.R
tmle.npvi/NAMESPACE
tmle.npvi/data
tmle.npvi/data/tcga2012brca.rda
tmle.npvi/data/datalist
tmle.npvi/data/learningLib.rda
tmle.npvi/data/superLearningLib.rda
tmle.npvi/R
tmle.npvi/R/getSample.R tmle.npvi/R/getLightFit.R tmle.npvi/R/estimateDevMu.R tmle.npvi/R/threshold.R tmle.npvi/R/validateArgumentObs.R tmle.npvi/R/NPVI.update.R tmle.npvi/R/SuperLearning.R tmle.npvi/R/tmle.npvi.R tmle.npvi/R/simulateParsimoniouslyYgivenXW.R tmle.npvi/R/mu.R tmle.npvi/R/NPVI.R tmle.npvi/R/theta.R tmle.npvi/R/g.R tmle.npvi/R/estimatePsi.R tmle.npvi/R/NPVI.updatePsi.R tmle.npvi/R/estimateTheta.R tmle.npvi/R/estimateMuAux.R tmle.npvi/R/estimateDevG.R tmle.npvi/R/estimateDevTheta.R tmle.npvi/R/estimateG.R tmle.npvi/R/extract.R tmle.npvi/R/simulateData.R tmle.npvi/R/pcor.R tmle.npvi/R/simulateParsimoniouslyXgivenW.R tmle.npvi/R/NPVI.init.R
tmle.npvi/vignettes
tmle.npvi/vignettes/tmle-npvi.Rnw
tmle.npvi/MD5
tmle.npvi/build
tmle.npvi/build/vignette.rds
tmle.npvi/DESCRIPTION
tmle.npvi/man
tmle.npvi/man/learnDevMu.Rd tmle.npvi/man/tcga2012brca.Rd tmle.npvi/man/getPsiSd.NPVI.Rd tmle.npvi/man/SL.glm.condExpX2givenW.Rd tmle.npvi/man/as.character.NPVI.Rd tmle.npvi/man/SL.glm.condExpXYgivenW.Rd tmle.npvi/man/getLightFit.Rd tmle.npvi/man/predict.SL.glm.condExpXYgivenW.Rd tmle.npvi/man/setConfLevel.NPVI.Rd tmle.npvi/man/learnTheta.Rd tmle.npvi/man/getObs.NPVI.Rd tmle.npvi/man/learnDevG.Rd tmle.npvi/man/getSample.Rd tmle.npvi/man/getHistory.NPVI.Rd tmle.npvi/man/extractXW.Rd tmle.npvi/man/getPsi.NPVI.Rd tmle.npvi/man/predict.SL.glm.condExpX2givenW.Rd tmle.npvi/man/SL.glm.theta.Rd tmle.npvi/man/predict.SL.glm.theta.Rd tmle.npvi/man/extractW.Rd tmle.npvi/man/predict.SL.glm.g.Rd tmle.npvi/man/learnG.Rd tmle.npvi/man/superLearningLib.Rd tmle.npvi/man/learnDevTheta.Rd tmle.npvi/man/getPValue.NPVI.Rd tmle.npvi/man/tmle.npvi..Rd tmle.npvi/man/learnCondExpX2givenW.Rd tmle.npvi/man/learnCondExpXYgivenW.Rd tmle.npvi/man/getPValue.matrix.Rd tmle.npvi/man/SL.glm.g.Rd tmle.npvi/man/learningLib.Rd tmle.npvi/man/learnMuAux.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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