tmle: Targeted Maximum Likelihood Estimation

tmle implements targeted maximum likelihood estimation, first described in van der Laan and Rubin, 2006 (Targeted Maximum Likelihood Learning, The International Journal of biostatistics, 2(1), 2006. This version adds the tmleMSM function to the package, for estimating the parameters of a marginal structural model (MSM) for a binary point treatment effect. The tmle function calculates the adjusted marginal difference in mean outcome associated with a binary point treatment, for continuous or binary outcomes. Relative risk and odds ratio estimates are also reported for binary outcomes. Missingness in the outcome is allowed, but not in treatment assignment or baseline covariate values. Effect estimation stratified by a binary mediating variable is also available. The population mean is calculated when there is missingness, and no variation in the treatment assignment. An ID argument can be used to identify repeated measures. Default settings call SuperLearner to estimate the Q and g portions of the likelihood, unless values or a user-supplied regression function are passed in as arguments.

Author
Susan Gruber, in collaboration with Mark van der Laan
Date of publication
2014-03-09 08:00:09
Maintainer
Susan Gruber <sgruber@cal.berkeley.edu>
License
BSD_3_clause + file LICENSE | GPL-2
Version
1.2.0-4
URLs

View on CRAN

Man pages

calcParameters
Calculate Parameter Estimates (calcParameters)
calcSigma
Calculate Variance-Covariance Matrix for MSM Parameters...
estimateG
Estimate Treatment or Missingness Mechanism
estimateQ
Initial Estimation of Q portion of the Likelihood
fev
Forced Expiratory Volume (FEV) Data (fev)
SL.glm.interaction
Wrapper function for SuperLearner prediction algorithm
summary.tmle
Summarization of the results of a call to the tmle routine
summary.tmleMSM
Summarization of the results of a call to the tmleMSM...
tmle
Targeted Maximum Likelihood Estimation
tmleMSM
Targeted Maximum Likelihood Estimation of Parameter of MSM
tmleNews
Show the NEWS file (tmleNews)
tmle-package
Targeted Maximum Likelihood Estimation with Super Learning

Files in this package

tmle
tmle/inst
tmle/inst/CITATION
tmle/NAMESPACE
tmle/NEWS
tmle/data
tmle/data/fev.rda
tmle/R
tmle/R/tmle.R
tmle/R/zzz.R
tmle/MD5
tmle/DESCRIPTION
tmle/man
tmle/man/calcSigma.Rd
tmle/man/summary.tmle.Rd
tmle/man/tmle-package.Rd
tmle/man/estimateG.Rd
tmle/man/tmleNews.Rd
tmle/man/fev.Rd
tmle/man/calcParameters.Rd
tmle/man/estimateQ.Rd
tmle/man/summary.tmleMSM.Rd
tmle/man/SL.glm.interaction.Rd
tmle/man/tmle.Rd
tmle/man/tmleMSM.Rd
tmle/LICENSE