cond_power_rule_u_ts: Conditional power sample size reassessment rule (Mann-Whitney...
In floatofmath/adaperm: Permutation tests for adaptive designs
Description
Usage
Arguments
Value
Author(s)
Description
Conditional power rule for the Mann-Whitney U test, where we estimate the relative effect size based on the observed first stage outcomes by simply counting the number of treatment group samples that have larger outcome values than control group samples.
Usage
1
2
cond_power_rule_u_ts(x1, y1, target = 0.9, alpha = 0.025,
maxN = length(x1) * 6)
Arguments
x1
First stage control group observations
y1
First stage treatment group observations
target
Target power
alpha
Significance level
maxN
Maximum sample size
Value
Total sample size (in the control group) required to achieve the target power
Author(s)
float
floatofmath/adaperm documentation built on May 16, 2019, 1:18 p.m.
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Description Usage Arguments Value Author(s)
Description
Conditional power rule for the Mann-Whitney U test, where we estimate the relative effect size based on the observed first stage outcomes by simply counting the number of treatment group samples that have larger outcome values than control group samples.
Usage
1 2 | cond_power_rule_u_ts(x1, y1, target = 0.9, alpha = 0.025,
maxN = length(x1) * 6)
|
Arguments
x1 |
First stage control group observations |
y1 |
First stage treatment group observations |
target |
Target power |
alpha |
Significance level |
maxN |
Maximum sample size |
Value
Total sample size (in the control group) required to achieve the target power
Author(s)
float
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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