coeff.beta.k: Ratio of expected value to variance of estimator
In hscovar: Calculation of Covariance Between Markers for Half-Sib Families
Description
Usage
Arguments
Value
Description
The ratio of expected value to standard deviation is calculated
for the estimator of a selected regression coefficient.
Usage
1
coeff.beta.k(k, beta.true, lambda, eigendec, n, weights = 1)
Arguments
k
index of selected regression coefficient
beta.true
(LEN p) vector of regression coefficients
lambda
shrinkage parameter
eigendec
eigenvalue decomposition of (p x p) correlation matrix
R
n
sample size
weights
vector (LEN p) of SNP-specific weights or scalar if weights
are equal for all SNPs; default value 1
Value
ratio
hscovar documentation built on April 13, 2021, 9:06 a.m.
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Description Usage Arguments Value
Description
The ratio of expected value to standard deviation is calculated for the estimator of a selected regression coefficient.
Usage
1 | coeff.beta.k(k, beta.true, lambda, eigendec, n, weights = 1)
|
Arguments
k |
index of selected regression coefficient |
beta.true |
(LEN p) vector of regression coefficients |
lambda |
shrinkage parameter |
eigendec |
eigenvalue decomposition of (p x p) correlation matrix
|
n |
sample size |
weights |
vector (LEN p) of SNP-specific weights or scalar if weights are equal for all SNPs; default value 1 |
Value
ratio
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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