powerWX2019: GWAS power analysis
In timflutre/rutilstimflutre: Timothee Flutre's personal R code
powerWX2019 R Documentation
GWAS power analysis
Description
Useful for the power analysis of a GWAS from Wang and Xu (2019).
Code from White et al (2020).
Usage
powerWX2019(n = 500, h2 = 0.05, lambda = 1, rho = 0.5, m = 1e+05, alpha = 0.05)
Arguments
n
actual population size
h2
heritability
lambda
lambda
rho
effective correlation coefficient
m
number of markers
alpha
alpha
Value
numeric
Author(s)
Jon White
timflutre/rutilstimflutre documentation built on Feb. 7, 2024, 8:17 a.m.
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| powerWX2019 | R Documentation |
GWAS power analysis
Description
Useful for the power analysis of a GWAS from Wang and Xu (2019). Code from White et al (2020).
Usage
powerWX2019(n = 500, h2 = 0.05, lambda = 1, rho = 0.5, m = 1e+05, alpha = 0.05)
Arguments
n |
actual population size |
h2 |
heritability |
lambda |
lambda |
rho |
effective correlation coefficient |
m |
number of markers |
alpha |
alpha |
Value
numeric
Author(s)
Jon White
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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