cor_sar {brms} | R Documentation |
Thse functions are deprecated. Please see sar
for the new
syntax. These functions are constructors for the cor_sar
class
implementing spatial simultaneous autoregressive structures.
The lagsar
structure implements SAR of the response values:
y = ρ W y + η + e
The errorsar
structure implements SAR of the residuals:
y = η + u, u = ρ W u + e
In the above equations, η is the predictor term and e are independent normally or t-distributed residuals.
cor_sar(W, type = c("lag", "error")) cor_lagsar(W) cor_errorsar(W)
W |
An object specifying the spatial weighting matrix.
Can be either the spatial weight matrix itself or an
object of class |
type |
Type of the SAR structure. Either |
Currently, only families gaussian
and student
support SAR structures.
An object of class cor_sar
to be used in calls to
brm
.
## Not run: data(oldcol, package = "spdep") fit1 <- brm(CRIME ~ INC + HOVAL, data = COL.OLD, autocor = cor_lagsar(COL.nb), chains = 2, cores = 2) summary(fit1) plot(fit1) fit2 <- brm(CRIME ~ INC + HOVAL, data = COL.OLD, autocor = cor_errorsar(COL.nb), chains = 2, cores = 2) summary(fit2) plot(fit2) ## End(Not run)