Extracts parallel chains from an MCMC
object to create an
mcmc.list
object for use with coda diagnostic tools.
as_coda(from, ...)
# S4 method for class 'MCMC'
as_coda(from, chains = 1)
from An object to be coerced.
Currently not used.
An integer
specifying the number of parallel chains
(defaults to \(1\)).
An coda::mcmc.list
object.
coda::mcmc()
, coda::mcmc.list()
Other read methods:
as_events()
,
as_phases()
,
check
,
read_bcal()
,
read_chronomodel
,
read_oxcal()
if (requireNamespace("coda", quietly = TRUE)) {
## Load coda
library(coda)
## Coerce to MCMC
eve <- as_events(mcmc_events, calendar = CE(), iteration = 1)
## Coerce to coda
mc <- as_coda(eve[, 1:2], chains = 3)
plot(mc)
## Autocorrelation
autocorr.plot(mc)
## Gelman-Rubin diagnostic
## The multivariate criterion can not be evaluated when a phase
## contains only one date. This induces colinearity problems.
gelman.diag(mc)
gelman.plot(mc)
}