ess {baskexact} | R Documentation |
Expected Sample Size
Description
Computes the expected sample size of a two-stage basket trial.
Usage
ess(design, ...)
## S4 method for signature 'TwoStageBasket'
ess(
design,
p1 = NULL,
n,
n1,
lambda,
interim_fun,
interim_params = list(),
weight_fun,
weight_params = list(),
globalweight_fun = NULL,
globalweight_params = list(),
...
)
Arguments
design |
An object of class |
... |
Further arguments. |
p1 |
Probabilities under the alternative hypothesis. If
|
n |
The sample size per basket. |
n1 |
The sample size per basket for the interim analysis in case of a two-stage design. |
lambda |
The posterior probability threshold. See details for more information. |
interim_fun |
Which type of interim analysis should be conducted in case of a two-stage design. |
interim_params |
A list of tuning parameters specific to
|
weight_fun |
Which function should be used to calculate the pairwise weights. |
weight_params |
A list of tuning parameters specific to
|
globalweight_fun |
Which function should be used to calculate the global weights. |
globalweight_params |
A list of tuning parameters specific to
|
Methods (by class)
-
ess(TwoStageBasket)
: Expected sample size for two-stage basket design.
Examples
design <- setupTwoStageBasket(k = 3, p0 = 0.2)
ess(design, n = 20, n1 = 10, lambda = 0.99, weight_fun = weights_fujikawa,
interim_fun = interim_postpred)