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

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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