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| 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) |
| 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 |
| SL.glm.interaction | Wrapper function for SuperLearner prediction algorithm |
| 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 |
| tmleMSM | Targeted Maximum Likelihood Estimation of Parameter of MSM |
| tmleNews | Show the NEWS file (tmleNews) |