mc_dglm: Double Generalized Linear Models Structure

In mcglm: Multivariate Covariance Generalized Linear Models

Double Generalized Linear Models Structure

Description

The function mc_dglm builds the components of the matrix linear predictor used for fitting double generalized linear models.

Usage

mc_dglm(formula, id, data)

Arguments

formula	a formula spefying the components of the covariance structure.
id	name of the column (string) containing the subject index. (If ts is not repeated measures, use id = 1 for all observations).
data	data set.

Value

A list containing diagonal matrices with entries defined by the covariates assumed to describe the matrix linear predictor. Each matrix corresponds to one component of the covariance model and is intended to be supplied to the matrix_pred argument of mcglm.

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.

See Also

mc_id, mc_dist, mc_ma, mc_rw
and mc_mixed.

mcglm documentation built on Jan. 9, 2026, 1:07 a.m.