bayesm: summary.bayesm.nmix – R documentation

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summary.bayesm.nmix

Summarize Draws of Normal Mixture Components

Description

summary.bayesm.nmix is an S3 method to display summaries of the distribution implied by draws of Normal Mixture Components. Posterior means and variance-covariance matrices are displayed.

Note: 1st and 2nd moments may not be very interpretable for mixtures of normals. This summary function can take a minute or so. The current implementation is not efficient.

Usage

## S3 method for class 'bayesm.nmix'
summary(object, names, burnin=trunc(0.1*nrow(probdraw)), ...)

Arguments

`object`	an object of class `bayesm.nmix`, a list of lists of draws
`names`	optional character vector of names fo reach dimension of the density
`burnin`	number of draws to burn-in (def: 0.1nrow(probdraw)*)
`...`	parms to send to summary

Details

An object of class bayesm.nmix is a list of three components:

probdraw: a matrix of R/keep rows by dim of normal mix of mixture prob draws
second comp: not used
compdraw: list of list of lists with draws of mixture comp parms

Author(s)

Peter Rossi, Anderson School, UCLA, perossichi@gmail.com.

Examples

## Not run: out=rnmix(Data,Prior,Mcmc); summary(out)

bayesm

Bayesian Inference for Marketing/Micro-Econometrics

v3.1-4

GPL (>= 2)

Authors

Peter Rossi <perossichi@gmail.com>

Initial release

2019-10-14