The function mc_dglm builds the components
of the matrix linear predictor used for fitting double generalized
linear models.
mc_dglm(formula, id, data)
| 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. |
Bonat, W. H. (2018). Multiple Response Variables Regression Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1--30.
A list of a diagonal matrices, whose values are given by the covariates assumed to describe the covariance structure.
mc_id, mc_dist, mc_ma, mc_rw
and mc_mixed.