ecd: Calculate the Expected Number of Correct Decisions for a...
In baskwrap: Wrapper Package for Several Basket Trial R Packages
ecd R Documentation
Calculate the Expected Number of Correct Decisions for a Basket Trial Design
Description
Generic function for calculating the expected number of correct decisions
of a basket trial design. It defaults to the function basksim::ecd.
Usage
ecd(design, ...)
## Default S3 method:
ecd(design, ...)
Arguments
design
An object created with one of the setup functions from
the basksim package.
...
Further arguments.
Value
A numeric value.
Examples
design <- setup_fujikawa_x(k = 3, p0 = 0.2)
ecd(design = design, n = 20, p1 = c(0.2, 0.5, 0.5), lambda = 0.95,
design_params = list(epsilon = 2, tau = 0), iter = 100)
baskwrap documentation built on March 19, 2026, 5:09 p.m.
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| ecd | R Documentation |
Calculate the Expected Number of Correct Decisions for a Basket Trial Design
Description
Generic function for calculating the expected number of correct decisions
of a basket trial design. It defaults to the function basksim::ecd.
Usage
ecd(design, ...)
## Default S3 method:
ecd(design, ...)
Arguments
design |
An object created with one of the |
... |
Further arguments. |
Value
A numeric value.
Examples
design <- setup_fujikawa_x(k = 3, p0 = 0.2)
ecd(design = design, n = 20, p1 = c(0.2, 0.5, 0.5), lambda = 0.95,
design_params = list(epsilon = 2, tau = 0), iter = 100)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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