R: (Deprecated) Spatial simultaneous autoregressive (SAR)...

cor_sar {brms} | R Documentation

## (Deprecated) Spatial simultaneous autoregressive (SAR) structures

### Description

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.

### Usage

    cor_sar(W, type = c("lag", "error"))

    cor_lagsar(W)

    cor_errorsar(W)

### Arguments

`W` | An object specifying the spatial weighting matrix. Can be either the spatial weight matrix itself or an object of class `listw` or `nb`, from which the spatial weighting matrix can be computed.
`type` | Type of the SAR structure. Either `"lag"` (for SAR of the response values) or `"error"` (for SAR of the residuals).

### Details

Currently, only families `gaussian` and `student` support SAR structures.

### Value

An object of class `cor_sar` to be used in calls to `brm`.

### Examples

    ## 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)

[Package brms version 2.16.1 Index]