coda.mcmc {ArchaeoPhases} | R Documentation |
mcmc.list
object for coda usersThis wrapper function extracts parallel chains from a data frame to
create an mcmc.list
object for use with coda diagnostic tools
coda.mcmc(data, numberChains = 1, iterationColumn = NULL)
data |
Data frame containing the output of the MCMC algorithm. |
numberChains |
Number of parallel chains, default = 1. |
iterationColumn |
Column number corresponding to the iteration values,
default = |
An mcmc.list
object.
Anne Philippe, Anne.Philippe@univ-nantes.fr and
Marie-Anne Vibet, Marie-Anne.Vibet@univ-nantes.fr
data(Events)
mcmcList = coda.mcmc(data = Events, numberChains = 3, iterationColumn = 1)
plot(mcmcList)
gelman.diag(mcmcList)
# The multivariate criterion can not be evaluated when a phase
# contains only one date. This induces colinearity problems.
gelman.diag(mcmcList, multivariate = FALSE)