Creates a single plot of the Gelman and Rubin shrink factors within different line segments for a parameter in an MCMC sequence.
boa.plot.gandr(pname, bins = boa.par("gandr.bins"), alpha = boa.par("alpha"), win = boa.par("gandr.win"), annotate = boa.par("legend"))
||Character string giving the name of the parameter in the working session list of MCMC sequences to be plotted.|
||Number of line segments within the MCMC sequence at which to plot the Gelman and Rubin shrink factors. The first segment contains the first 50 iterations; the remaining iterations are partitioned into equal bins and added incrementally to construct the remaining line segments. The shrink factors are plotted against the maximum iteration number for the segment. Cubic splines are used to interpolate through the point estimates for each segment.|
||Quantile (1 - alpha / 2) at which to estimate the upper limit of the shrink factor.|
||Proportion of iterations to include in the Brooks, Gelman, and Rubin Statistics.|
||Logical value indicating that a legend be included in the plot.|
A logical value indicating that the plot was successfully created.
Brian J. Smith