mc_car: Conditional Autoregressive Model Structure

In mcglm: Multivariate Covariance Generalized Linear Models

Conditional Autoregressive Model Structure

Description

The function mc_car helps to build the components of the matrix linear predictor used for fitting conditional autoregressive models. This function is used in general for fitting spatial areal data using the well known conditional autoregressive models (CAR). This function depends on a list of neighboors, such a list can be constructed, for example using the tri2nb function from the spdep package based on spatial coordinates. This way to specify the matrix linear predictor can also be applied for spatial continuous data, as an approximation.

Usage

mc_car(list_neigh, intrinsic = FALSE)

Arguments

list_neigh	list of neighboors.
intrinsic	logical.

Value

A list of a matrix (intrinsic = TRUE) or two matrices (intrinsic = FALSE). The main use of these matrices are as input in the mcglm function as linear covariance models in the argument matrix_pred.

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_compute_rho, mc_conditional_test, mc_dist, mc_ma, mc_rw
and mc_mixed.

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