compute_info: Computing Information Matrices

Description Usage Arguments Details Value Author(s) References Examples

Description

Compute information matrices based on block matrices.

Usage

1
compute_info(P0_mat, mat_del = NULL, mat_sigma2 = NULL, mat_tau = NULL)

Arguments

P0_mat

(matrix, n*n) Scale projection matrix under REML.

mat_del

(matrix, n*n) Derivative of the scale covariance matrix of Y with respect to delta.

mat_sigma2

(matrix, n*n) Derivative of the scale covariance matrix of Y with respect to sigma2.

mat_tau

(matrix, n*n) Derivative of the scale covariance matrix of Y with respect to tau.

Details

This function gives the information value of the interaction strength.

Value

I0

(matrix, n*n) The computed information value.

Author(s)

Wenying Deng

References

Arnab Maity and Xihong Lin. Powerful tests for detecting a gene effect in the presence of possible gene-gene interactions using garrote kernel machines. December 2011.

Examples

1
2
I0 <- compute_info(P0_mat, mat_del = drV0_del,
mat_sigma2 = drV0_sigma2, mat_tau = drV0_tau)

IrisTeng/CVEK documentation built on May 31, 2019, 4:50 p.m.