R: Targeted Maximum Likelihood Estimation for Two-Stage Study Design

# Targeted Maximum Likelihood Estimation for Two-Stage Study Design

## Documentation for package ‘twoStageDesignTMLE’ version 1.0.1.2

- DESCRIPTION file
- Package NEWS

## 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