Estimation of the variance components under the null model using the normalized ASKAT method
1  Estim.H0.NormalizedASKAT(y, X, S, U)

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. 
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)
Karim Oualkacha
M'Hamed Lajmi LakhalChaieb
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.