Analytical Calculation of Basket Trial Operating Characteristics

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Documentation for package ‘baskexact’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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