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.
mc_car(list_neigh, intrinsic = FALSE)
| list_neigh | list of neighboors. |
|---|---|
| intrinsic | logical. |
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 matrix (intrinsic = TRUE) or two matrices
(intrinsic = FALSE).
mc_id, mc_compute_rho, mc_conditional_test,
mc_dist, mc_ma, mc_rw
and mc_mixed.