as.carAdjacency: Convert CAR structural parameters to adjacency, weights, num...

In nimble: MCMC, Particle Filtering, and Programmable Hierarchical Modeling

Convert CAR structural parameters to adjacency, weights, num format

Description

This will convert alternate representations of CAR process structure into (adj, weights, num) form required by dcar_normal.

Usage

as.carAdjacency(...)

Arguments

...	Either: a symmetric matrix of unnormalized weights, or two lists specifying adjacency indices and the corresponding unnormalized weights.

Details

Two alternate representations are handled:

A single matrix argument will be interpreted as a matrix of symmetric unnormalized weights.

Two lists will be interpreted as (the first) a list of numeric vectors specifying the adjacency (neighboring) indices of each CAR process component, and (the second) a list of numeric vectors giving the unnormalized weights for each of these neighboring relationships.

Author(s)

Daniel Turek

See Also

CAR-Normal

nimble documentation built on Sept. 11, 2024, 7:10 p.m.