RVPedigree (version 0.0.3)

Estim.H0.NormalizedASKAT: Estimation of the variance components under the null model using the normalized ASKAT method

Description

Estimation of the variance components under the null model using the normalized ASKAT method

Usage

Estim.H0.NormalizedASKAT(y, X, S, U)

Arguments

y

Vector of phenotype values

X

A matrix of covariates, including intercept.

S

Matrix obtained from spectral decomposition of the relationship matrix: $\Phi = U S U^T$.

U

Matrix obtained from spectral decomposition of the relationship matrix: $\Phi = U S U^T$.

Value

A vector with the following values:

• s.e: variance component due to the error term (residuals)
• s.g: variance component due to the polygenic residual (polygenic background)
• beta: the estimate of the effects of the covariate (if there are some in the data)