coda.mcmc | 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

`mcmc`

`mcmc.list`

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)

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