Closed grinnellm closed 2 years ago
I think you just change the lag.max
argument..
And if you're calling it from make.autocor.plot()
it's hard coded in there: https://github.com/pbs-assess/gfiscamutils/blob/d41552634a5b4c54fe6be2ce371ea1b6968c6ade/R/figures-mcmc-diagnostics.R#L282
That should be passed in the elippsis ... or as an argument in make.autocor.plot()
Thanks for this @cgrandin. It could be that I don't understand what the plot is supposed to show.. is it supposed to show all 4,000 MCMCs (after thinning and burn-in accounted for)?
I'm pretty sure I misunderstood what the plot was showing, and it's correct as is.
Our autocorrelation plots only show 100 values but I expect them to have 4,000 points like the MCMC trace plots. 5,000,000 chain length, 1,000th thinning, and 1,000 burn-in makes 4,000 values.
We are on the herring branch of gfiscamutils.
The plot is made here.