mt_matrix_linear_predictor: Matrix Linear Predictor

In wbonat/mglm4twin: Multivariate Generalized linear Models for Twin Data

Matrix Linear Predictor

Description

Compute the matrix linear predictor. It is an internal function, however, since the concept of matrix linear predictor was proposed recently. I decided let this function visible to the interested reader gets some feeling about how it works.

Usage

mt_matrix_linear_predictor(tau, Z)

Arguments

tau	a numeric vector of dispersion parameters.
Z	a list of known matrices.

Details

Given a list with a set of known matrices (Z_0,...,Z_D) the function
mt_matrix_linear_predictor returns U = \tau_0 Z_0 + ... + \tau_D Z_D.

Value

A matrix.

Author(s)

Wagner Hugo Bonat, [e-mail]

Source

Bonat, W. H. (2018). Multiple Response Variables Regression Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1–30.

Bonat, W. H. and Jorgensen, B. (2016) Multivariate covariance generalized linear models. Journal of Royal Statistical Society - Series C 65:649–675.

Examples

require(Matrix)
Z0 <- Diagonal(5, 1)
Z1 <- Matrix(rep(1,5)%*%t(rep(1,5)))
Z <- list(Z0, Z1)
mt_matrix_linear_predictor(tau = c(1,0.8), Z = Z)

wbonat/mglm4twin documentation built on Oct. 14, 2023, 9:37 p.m.