summary.bayesm.mat {bayesm} | R Documentation |
summary.bayesm.mat
is an S3 method to summarize marginal distributions given an
array of draws
## S3 method for class 'bayesm.mat': summary(object, names, burnin = trunc(0.1 * nrow(X)), tvalues, QUANTILES = TRUE, TRAILER = TRUE,...)
object |
object (hereafter X ) is an array of draws, usually an object of class "bayesm.mat" |
names |
optional character vector of names for the columns of X |
burnin |
number of draws to burn-in, def: .1*nrow(X) |
tvalues |
optional vector of "true" values for use in simulation examples |
QUANTILES |
logical for should quantiles be displayed, def: TRUE |
TRAILER |
logical for should a trailer be displayed, def: TRUE |
... |
optional arguments for generic function |
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)
.
Peter Rossi, Graduate School of Business, University of Chicago, Peter.Rossi@ChicagoGsb.edu.
summary.bayesm.var
, summary.bayesm.nmix
## ## not run # out=rmnpGibbs(Data,Prior,Mcmc) # summary(out$betadraw) #