parameter.plot.table {MIfuns} | R Documentation |
parameter.plot.table
creates history, density and Gelman-Rubin-Brooks plots for
each parameter in an array of MCMC results and returns a table of summary statistics for the parameters.
mcmc.history
creates only the history plots, and mcmc.density
creates only the density plots.
parameter.plot.table(parameter.array) mcmc.history(sims.array) mcmc.density(sims.array,n=50)
parameter.array |
3-way array of MCMC simulations with dimensions number of simulations per chain, number of chains,
and number of parameters. This is consistent with the parameters.array element of the list object returned by the bugs
function of the R2WinBUGS package. |
sims.array |
Output item containing results from WinBUGS fit |
n |
the number of equally spaced points at which the density is to be estimated. |
parameter.plot.table
requires functions from the lattice
and coda
packages. See documentation for the
coda
package for details on estimation of effective sample size and the time-series standard error, and creation of the
Gelman-Rubin-Brooks plots. The history, density and Gelman-Rubin-Brooks plots are printed to the current graphics device.
A matrix of summary statistics describing the MCMC simulations for each parameter in sims.array
. Each row
contains the statistics for one parameter. The columns correspond to the following statistics: mean,
standard deviation, naive standard error, time-series standard error, the 2.5th, 25th, 50th, 75th 97.5th percentile,
and the effective sample size.
Developed by Metrum Institute (Bill Gillespie and others).
MIfuns package available from Metrum Institute website (http://metruminstitute.org/
).