R: Bayesian Set of Best Dynamic Treatment Regimes and Sample Size in SMARTs for Binary Outcomes

# Bayesian Set of Best Dynamic Treatment Regimes and Sample Size in SMARTs for Binary Outcomes

## Documentation for package ‘SMARTbayesR’ version 2.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

LogOR | Log-Odds Ratios for Embedded Dynamic Treatment Regimes
LogRR | Log Risk Ratios for Embedded Dynamic Treatment Regimes
MCBUpperLimits | Simultaneous Upper Credible Intervals
PosteriorEDTRProbs | Convert Treatment Sequence Draws into Embedded Dynamic Treatment Regime Draws
PosteriorTrtSeqProb | Treatment Sequence Response Probabilities from Dataset
PowerBayesian | Power Calculation for a SMART with a Binary Outcome
RD | Risk Differences for Embedded Dynamic Treatment Regimes
SimDesign1 | Simulate a SMART with Design 1
SMARTbayesR | SMARTbayesR: A package for Bayesian computation of optimal embedded dynamic treatment regimes and sample size determination with binary outcomes