sdY.est: Estimate trait variance, internal function
In clagiamba/moloc: Multiple Traits Co-localization
Description
Usage
Arguments
Details
Value
Author(s)
View source: R/functions_moloc.R
Description
Estimate trait standard deviation given vectors of variance of coefficients, MAF and sample size
Usage
1
sdY.est(vbeta, maf, n)
Arguments
vbeta
vector of variance of coefficients
maf
vector of MAF (same length as vbeta)
n
sample size
Details
Estimate is based on var(beta-hat) = var(Y) / (n * var(X))
var(X) = 2*maf*(1-maf)
so we can estimate var(Y) by regressing n*var(X) against 1/var(beta)
Value
estimated standard deviation of Y
Author(s)
Chris Wallace
clagiamba/moloc documentation built on Jan. 25, 2021, 2:43 a.m.
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Description Usage Arguments Details Value Author(s)
View source: R/functions_moloc.R
Description
Estimate trait standard deviation given vectors of variance of coefficients, MAF and sample size
Usage
1 | sdY.est(vbeta, maf, n)
|
Arguments
vbeta |
vector of variance of coefficients |
maf |
vector of MAF (same length as vbeta) |
n |
sample size |
Details
Estimate is based on var(beta-hat) = var(Y) / (n * var(X)) var(X) = 2*maf*(1-maf) so we can estimate var(Y) by regressing n*var(X) against 1/var(beta)
Value
estimated standard deviation of Y
Author(s)
Chris Wallace
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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