summary.bayesm.mat {bayesm}  R Documentation 
Summarize Mcmc Parameter Draws
Description
summary.bayesm.mat
is an S3 method to summarize marginal distributions given an array of draws
Usage
## S3 method for class 'bayesm.mat'
summary(object, names, burnin = trunc(0.1 * nrow(X)),
tvalues, QUANTILES = TRUE, TRAILER = TRUE,...)
Arguments
object 

names 
optional character vector of names for the columns of 
burnin 
number of draws to burnin (def: 
tvalues 
optional vector of "true" values for use in simulation examples 
QUANTILES 
logical for should quantiles be displayed (def: 
TRAILER 
logical for should a trailer be displayed (def: 
... 
optional arguments for generic function 
Details
Typically, summary.bayesm.nmix
will be invoked by a call to the generic summary function as in summary(object)
where object is of class bayesm.mat
. Mean, Std Dev, Numerical Standard error (of estimate of posterior mean), relative numerical efficiency (see numEff
), and effective sample size are displayed. If QUANTILES=TRUE
, quantiles of marginal distirbutions in the columns of X
are displayed.
summary.bayesm.mat
is also exported for direct use as a standard function, as in summary.bayesm.mat(matrix)
.
summary.bayesm.mat(matrix)
returns (invisibly) the array of the various summary statistics for further use. To assess this array usestats=summary(Drawmat)
.
Author(s)
Peter Rossi, Anderson School, UCLA, perossichi@gmail.com.
See Also
summary.bayesm.var
, summary.bayesm.nmix
Examples
## Not run: out=rmnpGibbs(Data,Prior,Mcmc); summary(out$betadraw)