MultiSKAT_NULL_Kins: Construct the null MultiSKAT model with kinship adjustment

In diptavo/MultiSKAT: Sequence Kernel Association Tests with Multiple phenotypes

Description

Compute the null model parameters and residuals for MultiSKAT_Kins. The values and residuals from here are used to compute the MultiSKAT_Kins test (MultiSKAT with kinship adjustment).

Usage

MultiSKAT_NULL_Kins(y.mat, X, U, D, V_g,V_e)

Arguments

y.mat	A numeric matrix of phenotype values with rows as individuals and columns as phenotypes.
X	A numeric matrix of covariate values with rows as individuals and columns as covariates. The first column should be the intercept (a vector of 1's)
U	Spectral vector matrix of the Kinship matrix.
D	Spectral values matrix of the Kinship matrix
V_g	Co-heritability matrix
V_e	Residual variance matrix

Details

Estimation of the coheritability and residual variance matrices should be as accurate as possible, otherwise it can hamper the false positive rates of the corresponding MultiSKAT tests.

Value

This function returns an null object of the class MultiSKAT_NULL_related. This object contains details, values and residuals for computing MultiSKAT test statistic and the null distribution.

Author(s)

Diptavo Dutta

Examples

data(MultiSKAT.Kinship.example.data)
attach(MultiSKAT.Kinship.example.data)

obj.null = MultiSKAT_NULL_Kins(Phenotypes,Cov,U,D,V_g,V_e)

diptavo/MultiSKAT documentation built on May 22, 2019, 1:36 p.m.