pm: Sample proportion
In arsenionhacolo/InferenceBEAGSD: Inference for Binary Endpoint Adaptive Group-Sequential Designs
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Calculates the sample proportion.
Usage
1
pm(s, n)
Arguments
s
Total number of successes.
n
Total sample size.
Details
For fixed designs the sample propotion is an unbiased (maximum likelihood)
estimator of the response rate, but in group sequential designs (e.g., Simon's)
it is biased.
Value
Estimate of the response rate.
Author(s)
Arsenio Nhacolo
See Also
Examples
1
pm(21, 54)
arsenionhacolo/InferenceBEAGSD documentation built on May 9, 2019, 4:10 a.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
Calculates the sample proportion.
Usage
1 | pm(s, n)
|
Arguments
s |
Total number of successes. |
n |
Total sample size. |
Details
For fixed designs the sample propotion is an unbiased (maximum likelihood) estimator of the response rate, but in group sequential designs (e.g., Simon's) it is biased.
Value
Estimate of the response rate.
Author(s)
Arsenio Nhacolo
See Also
Examples
1 | pm(21, 54)
|
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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