pow {baskexact}  R Documentation 
Computes the exact power for a basket trial.
pow(
design,
theta1,
n,
lambda,
epsilon,
tau,
logbase = 2,
prune = FALSE,
results = c("ewp", "group"),
...
)
## S4 method for signature 'OneStageBasket'
pow(
design,
theta1,
n,
lambda,
epsilon,
tau,
logbase = 2,
prune = FALSE,
results = c("ewp", "group"),
...
)
design 
An object of class 
theta1 
Probabilities under the alternative hypothesis. If

n 
The sample size per basket. 
lambda 
The posterior probability threshold. See details for more information. 
epsilon 
A tuning parameter that determines the amount of borrowing. See details for more information. 
tau 
A tuning parameter that determines how similar the baskets have to be that borrowing occurs. See details for more information. 
logbase 
A tuning parameter that determines which logarithm base is used to compute the JensenShannon divergence. See details for more information. 
prune 
Whether baskets with a number of responses below the critical pooled value should be pruned before the final analysis. 
results 
Whether only the experimentwise power (option 
... 
Further arguments. 
pow
computes the exact experimentwise power and the
exact rejection probabilities per group. The experimentwise power
is the probability to reject at least one null hypothesis for a basket with
theta1 > theta0. The rejection probabilities correspond to the type 1 error
rate for baskets with theta1 = theta 0 and to the power for baskets with
theta1 > theta 0.
If prune = TRUE
then the baskets with an observed number of baskets
smaller than the pooled critical value are not borrowed from. The
pooled critical value is the smallest integer c for which all null
hypotheses can be rejected if the number of responses is exactly c for
all baskets.
This method is implemented for the class OneStageBasket
.
If results = "ewp"
then the experimentwise power is
returned as a numeric value. If results = "group"
then a list with
the rejection probabilities per group and the experimentwise power
is returned. For baskets with theta1 = theta0 the rejection probabilities
corresponds to the type 1 error rate, for baskets with theta1 > theta0 the
rejection probabilities corresponds to the power.
OneStageBasket
: Power for a singlestage basket design.
design < setupOneStageBasket(k = 3, theta0 = 0.2)
pow(design, theta1 = c(0.2, 0.5, 0.5), n = 15, lambda = 0.99, epsilon = 2,
tau = 0)