wHolmTarget1m: Find the difference between the achieved power and the...
In itrimhoch: Improved Trimmed Weighted Hochberg Procedures and Sample Size Optimization
wHolmTarget1m R Documentation
Find the difference between the achieved power and the desired power for rejecting H1 using the weighted Holm procedure with allowance for different data maturities
Description
Find the difference between the achieved power and the desired power for rejecting H1 using the weighted Holm procedure with allowance for different data maturities
Usage
wHolmTarget1m(n, alpha1, alpha, beta1, deltavec, rho, maturity)
Arguments
n
the sample size
alpha1
the weighted significance levels assigned to H1
alpha
the significance level
beta1
one minus the desired power for rejecting H1
deltavec
a numeric vector of two values representing the effect sizes for the two hypotheses
rho
the correlation coefficient between two test statistics
maturity
a numeric vector of two values representing the data maturities for the two hypotheses
Value
the difference between the achieved power and the desired power for rejecting H1
Author(s)
Jiangtao Gou
References
Gou, J., Chang, Y., Li, T., and Zhang, F. (2025). Improved trimmed weighted Hochberg procedures with two endpoints and sample size optimization. Technical Report.
itrimhoch documentation built on June 8, 2025, 11:54 a.m.
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| wHolmTarget1m | R Documentation |
Find the difference between the achieved power and the desired power for rejecting H1 using the weighted Holm procedure with allowance for different data maturities
Description
Find the difference between the achieved power and the desired power for rejecting H1 using the weighted Holm procedure with allowance for different data maturities
Usage
wHolmTarget1m(n, alpha1, alpha, beta1, deltavec, rho, maturity)
Arguments
n |
the sample size |
alpha1 |
the weighted significance levels assigned to H1 |
alpha |
the significance level |
beta1 |
one minus the desired power for rejecting H1 |
deltavec |
a numeric vector of two values representing the effect sizes for the two hypotheses |
rho |
the correlation coefficient between two test statistics |
maturity |
a numeric vector of two values representing the data maturities for the two hypotheses |
Value
the difference between the achieved power and the desired power for rejecting H1
Author(s)
Jiangtao Gou
References
Gou, J., Chang, Y., Li, T., and Zhang, F. (2025). Improved trimmed weighted Hochberg procedures with two endpoints and sample size optimization. Technical Report.
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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