OneStageBasket-class    Class OneStageBasket
TwoStageBasket-class    Class TwoStageBasket
adjust_lambda           Adjust Lambda
basket_test             Test for the Results of a Basket Trial
check_mon_between       Check Between-Trial Monotonicity
check_mon_within        Check Within-Trial Monotonicity
ecd                     Expected number of correct decisions
ess                     Expected Sample Size
estim                   Posterior Mean and Mean Squared Error
get_scenarios           Create a Scenario Matrix
globalweights_diff      Global Weights Based on Response Rate
                        Differences
globalweights_fix       Fixed Global Weights
interim_posterior       Interim analysis based on the posterior
                        probability
interim_postpred        Interim analysis based on the posterior
                        predictive probability
opt_design              Optimize a Basket Design
plot_weights            Plot Weight Functions
pow                     Power
setupOneStageBasket     Setup OneStageBasket
setupTwoStageBasket     Setup TwoStageBasket
toer                    Type 1 Error Rate
weights_cpp             Weights Based on the Calibrated Power Prior
weights_fujikawa        Weights Based on Fujikawa et al.'s Design
weights_jsd             Weights Based on the Jensen-Shannon Divergence
weights_mml             Weights Based on the Marginal Maximum
                        Likelihood
weights_pool            Pooled Analysis
weights_separate        Separate Analysis in Each Basket
