summary.bayesm.var: Summarize Draws of Var-Cov Matrices

In bayesm: Bayesian Inference for Marketing/Micro-Econometrics

Summarize Draws of Var-Cov Matrices

Description

summary.bayesm.var is an S3 method to summarize marginal distributions given an array of draws

Usage

## S3 method for class 'bayesm.var'
summary(object, names, burnin = trunc(0.1 * nrow(Vard)), tvalues, QUANTILES = FALSE , ...)

Arguments

object	object (herafter, Vard) is an array of draws of a covariance matrix
names	optional character vector of names for the columns of Vard
burnin	number of draws to burn-in (def: 0.1*nrow(Vard))
tvalues	optional vector of "true" values for use in simulation examples
QUANTILES	logical for should quantiles be displayed (def: TRUE)
...	optional arguments for generic function

Details

Typically, summary.bayesm.var will be invoked by a call to the generic summary function as in summary(object) where object is of class bayesm.var. 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 Vard are displayed.

Vard is an array of draws of a covariance matrix stored as vectors. Each row is a different draw.

The posterior mean of the vector of standard deviations and the correlation matrix are also displayed

Author(s)

Peter Rossi, Anderson School, UCLA, [e-mail].

See Also

summary.bayesm.mat, summary.bayesm.nmix

Examples

## Not run: out=rmnpGibbs(Data,Prior,Mcmc); summary(out$sigmadraw)

bayesm documentation built on Sept. 24, 2023, 1:07 a.m.