NMixMCMC or
GLMM_MCMC functions.
tracePlots(x, ...)
"tracePlots"(x, ...)
"tracePlots"(x, param=c("Emix", "SDmix", "Cormix", "K", "w", "mu", "sd", "gammaInv"), relabel=FALSE, order, auto.layout=TRUE, xlab="Iteration", ylab, col="slateblue", main="", ...)
"tracePlots"(x, param=c("Emix", "SDmix", "Cormix", "K", "w", "mu", "sd", "gammaInv"), relabel=FALSE, auto.layout=TRUE, xlab="Iteration", ylab, col=c("blue3", "red3"), main="", ...)
"tracePlots"(x, param=c("Deviance", "Cond.Deviance", "alpha", "Eb", "SDb", "Corb", "sigma_eps", "w_b", "mu_b", "sd_b", "gammaInv_b", "gammaInv_eps"), relabel=FALSE, order, auto.layout=TRUE, xlab="Iteration", ylab, col="slateblue", main="", ...)
"tracePlots"(x, param=c("Deviance", "Cond.Deviance", "alpha", "Eb", "SDb", "Corb", "sigma_eps", "w_b", "mu_b", "sd_b", "gammaInv_b", "gammaInv_eps"), relabel=FALSE, auto.layout=TRUE, xlab="Iteration", ylab, col=c("blue3", "red3"), main="", ...)
relabel is FALSE, weights are not re-labeled before plotting;
x$scale$shift and x$scale$scale before plotting.
If relabel is FALSE, means are not re-labeled before plotting;
x$scale$scale before plotting.
If relabel is FALSE, standard deviations are
not re-labeled before plotting;
param being w, mu, sd, w_b,
mu_b, sd_b should be re-labeled before
plotting. Re-labelling is given by argument order. If
order is missing then x$order or x$order_b
determines re-labelling.
order must be a
permutation of $(1, ..., K)$.
TRUE, the plotting region
is automatically divided to produce traceplots of all
parameters. Note that layout must be set up automatically if there
are more than 28 parameters to be plotted (often the case for
correlations with param being Corb or for mixture
means with param being mu_b).plot
function. They all can be of length one (the value is used on all
plots) or of length equal to the number of parameters to be
plotted.plot function.invisible(x)
NMixMCMC, GLMM_MCMC, NMixRelabel, traceplot.