R: Analytical Calculation of Basket Trial Operating Characteristics

# Analytical Calculation of Basket Trial Operating Characteristics

## Documentation for package ‘baskexact’ version 1.0.1

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

## Help Pages

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