n2lambda: n1 to lambda
In floatofmath/adaperm: Permutation tests for adaptive designs
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
Estimate the penalty factor lambda from n1, in a way to give roughly 80
Usage
1
n2lambda(n1, target = 0.8)
Arguments
n1
first stage control group sample size
target
target power
Details
Except for first stage sample sizes 5, 15 and 50 this may give totally useless results.
Value
penalty factor for the combined sample size objective
Author(s)
float
See Also
optimal_power_rule_w_ts, combination_power_rule_w_ts and approximate_power_rule_w_ts for sample size rules based on a combined objective (maximum conditional power with moderate small sample size)
floatofmath/adaperm documentation built on May 16, 2019, 1:18 p.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
Estimate the penalty factor lambda from n1, in a way to give roughly 80
Usage
1 | n2lambda(n1, target = 0.8)
|
Arguments
n1 |
first stage control group sample size |
target |
target power |
Details
Except for first stage sample sizes 5, 15 and 50 this may give totally useless results.
Value
penalty factor for the combined sample size objective
Author(s)
float
See Also
optimal_power_rule_w_ts, combination_power_rule_w_ts and approximate_power_rule_w_ts for sample size rules based on a combined objective (maximum conditional power with moderate small sample size)
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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