Description Usage Arguments Value References

Takes a fitted `fit_ssm`

object and uses standard McMC convergence diagnostic plots to
aid assessment of lack of convergence.

1 | ```
diag_ssm(fit)
``` |

`fit` |
an output object from |

Uses plotting functions from Martyn Plummer's `coda`

package to help
diagnose lack of convergence for the core model parameters. The traceplot shows the time
series for both McMC chains; the density plot shows the density estimate for each parameter;
the autocorrelation plots show the within-chain sample autocorrelation for each parameter;
the G-B-R shrink factor plot shows the evolution of Gelman and Rubin's shrink factor for
increasing number of iterations. See the `coda`

package for further details.

Brooks SP, Gelman A (1998) General methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics 7:434-455

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