lee.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 a modified Liu method.
Usage
1
lee.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.
Lee, S., Wu, M. C., and Lin, X. (2012) Optimal tests for rare variant effects in sequencing association studies. Biostatistics, 13, 762-775.
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 a modified Liu method.
Usage
1 | lee.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.
Lee, S., Wu, M. C., and Lin, X. (2012) Optimal tests for rare variant effects in sequencing association studies. Biostatistics, 13, 762-775.
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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