Summarizing distributions of parameters simulated from statistical age models.

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`obj` |
list( |

`burn` |
integer(with default): number of iterations (i.e., the initial, non-stationary |

`thin` |
integer(with default): take every |

`plot` |
logical(with default): plot the MCMC output or not |

`outfile` |
character(optional): if specified, simulated parameters will be written to a CSV file named |

`...` |
do not use |

Function reportSAM summarizes the output of a Markov chain (the mean values, the standard deviations, and the 95 percent confidence intervals). The initial *i* (`burn=i`

) samples may have been affected by the inital state and has to be discarded ("burn-in"). Autocorrelation of simulated samples can be reduced by taking every *j-th* (`thin=j`

) iteration ("thining").

Return a list that contains the following elements:

`pars` |
parameters and relevant statistics |

`quantile` |
quantiles of simulated parameters |

`maxlik` |
calculated maximum logged likelihood value |

Lunn D, Jackson C, Best N, Thomas A, Spiegelhalter D, 2013. The BUGS book: a practical introduction to bayesian analysis. Chapman & Hall/CRC Press.

Gelman A, Carlin JB, Stern HS, Dunson DB, Vehtari A, Rubin DB, 2013. Bayesian data analysis. Chapman & Hall/CRC Press.

mcFMM; mcMAM

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