Targeted Maximum Likelihood Estimation for Two-Stage Study
Design
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Documentation for package ‘twoStageDesignTMLE’ version 1.0.1.2
Help Pages
| estimatePi | estimatePi |
| evalAugW | .evalAugW calls TMLE to use super learner to evalute preliminary predictions for Q(0,W) and Q(1,W) conditioning on stage 1 covariates |
| print.summary.twoStageTMLE | print.summary.twoStageTMLE |
| print.twoStageTMLE | print.twoStageTMLE |
| setV | Utilities setV Set the number of cross-validation folds as a function of effective sample size See Phillips 2023 doi.org/10.1093/ije/dyad023 |
| summary.twoStage | summary.twoStageTMLE |
| summary.twoStageTMLE | summary.twoStageTMLE |
| twoStageDesignTMLENews | twoStageDesignTMLENews Get news about recent updates and bug fixes |
| twoStageTMLE | twoStageTMLE |
| twoStageTMLEmsm | twoStageTMLEmsm |