Estim.H0.NormalizedASKAT: Estimation of the variance components under the null model...

In RVPedigree: Methods for Family-Based Rare-Variant Genetic Association Tests

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: Φ = U S U^T.
U	Matrix obtained from spectral decomposition of the relationship matrix: Φ = 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)

Author(s)

Karim Oualkacha

M'Hamed Lajmi Lakhal-Chaieb

RVPedigree documentation built on May 29, 2017, 10:19 p.m.