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as.carAdjacency

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


nimble

MCMC, Particle Filtering, and Programmable Hierarchical Modeling

v0.11.0
BSD_3_clause + file LICENSE | GPL (>= 2)
Authors
Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] (Bayesian nonparametrics system), Abel Rodrìguez [aut] (Bayesian nonparametrics system), Duncan Temple Lang [aut] (packaging configuration), Sally Paganin [aut] (reversible jump MCMC), Jagadish Babu [ctb] (code for the compilation system for an early version of NIMBLE), Lauren Ponisio [ctb] (contributions to the cross-validation code), Peter Sujan [ctb] (multivariate t distribution code)
Initial release
2021-04-16

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