Targeted Maximum Likelihood Estimation

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Documentation for package ‘tmle’ version 2.0.1.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

tmle-package	Targeted Maximum Likelihood Estimation with Super Learning
calcParameters	Calculate Parameter Estimates (calcParameters)
calcSigma	Calculate Variance-Covariance Matrix for MSM Parameters (calcSigma)
estimateG	Estimate Treatment or Missingness Mechanism
estimateQ	Initial Estimation of Q portion of the Likelihood
fev	Forced Expiratory Volume (FEV) Data (fev)
oneStepATT	Calculate Additive treatment effect among the treated (oneStepATT)
predict.tmle.SL.dbarts2	Super Learner wrappers for modeling and prediction using 'bart' in the 'dbarts' package
print.summary.tmle	Summarization of the results of a call to the tmle routine
print.summary.tmle.list	Summarization of the results of a call to the tmle routine
print.summary.tmleMSM	Summarization of the results of a call to the tmleMSM function
print.tmle	Summarization of the results of a call to the tmle routine
print.tmle.list	Summarization of the results of a call to the tmle routine
print.tmleMSM	Summarization of the results of a call to the tmleMSM function
summary.tmle	Summarization of the results of a call to the tmle routine
summary.tmle.list	Summarization of the results of a call to the tmle routine
summary.tmleMSM	Summarization of the results of a call to the tmleMSM function
tmle	Targeted Maximum Likelihood Estimation
tmle.SL.dbarts.k.5	Super Learner wrappers for modeling and prediction using 'bart' in the 'dbarts' package
tmle.SL.dbarts2	Super Learner wrappers for modeling and prediction using 'bart' in the 'dbarts' package
tmleMSM	Targeted Maximum Likelihood Estimation of Parameter of MSM
tmleNews	Show the NEWS file (tmleNews)