exp_n: Computing the expected sample size for an effect size
In MatheMax/OptReSample: Computing Optimal Adaptive Designs
Description
exp_n computes the expected sample size for a design under a certain effect size.
Usage
1
exp_n(effect, d, parameters)
Arguments
effect
Effect size for which the expected sample size should be calculated
d
An object of class design
parameters
Parameters specifying the design
MatheMax/OptReSample documentation built on May 5, 2019, 8:14 a.m.
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Description
exp_n computes the expected sample size for a design under a certain effect size.
Usage
1 | exp_n(effect, d, parameters)
|
Arguments
effect |
Effect size for which the expected sample size should be calculated |
d |
An object of class design |
parameters |
Parameters specifying the design |
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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