liu.pwr: Compute power for SKAT (given chi-square mixture parameters)...
In baolinwu/KATSP: Sample size and power calculation for variant-set association test with SKAT
Description
Usage
Arguments
Value
References
Description
The non-central chi-square approximation is based on the Liu method.
Usage
1
liu.pwr(alpha, lambda, delta)
Arguments
alpha
significance level
lambda
vector of mixing coefficients
delta
vector of non-centrality parameters
Value
estimated power
References
Wu,B. and Pankow,J.S. (2016) On sample size and power calculation for variant set-based association tests. /AHG/, 80(2), 136-143.
Wu,B. and Pankow,J.S. (2017) On computing the tail probability of non-negative definite quadratic forms in central normal variables. tech rep.
H. Liu, Y. Tang, H.H. Zhang (2009) A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables, Computational Statistics and Data Analysis, 53, 853-856.
baolinwu/KATSP documentation built on May 29, 2019, 12:04 p.m.
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Description Usage Arguments Value References
Description
The non-central chi-square approximation is based on the Liu method.
Usage
1 | liu.pwr(alpha, lambda, delta)
|
Arguments
alpha |
significance level |
lambda |
vector of mixing coefficients |
delta |
vector of non-centrality parameters |
Value
estimated power
References
Wu,B. and Pankow,J.S. (2016) On sample size and power calculation for variant set-based association tests. /AHG/, 80(2), 136-143.
Wu,B. and Pankow,J.S. (2017) On computing the tail probability of non-negative definite quadratic forms in central normal variables. tech rep.
H. Liu, Y. Tang, H.H. Zhang (2009) A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables, Computational Statistics and Data Analysis, 53, 853-856.
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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