plot.bayesm.hcoef: Plot Method for Hierarchical Model Coefs

In bayesm: Bayesian Inference for Marketing/Micro-Econometrics

Plot Method for Hierarchical Model Coefs

Description

plot.bayesm.hcoef is an S3 method to plot 3 dim arrays of hierarchical coefficients. Arrays are of class bayesm.hcoef with dimensions: cross-sectional unit x coef x MCMC draw.

Usage

## S3 method for class 'bayesm.hcoef'
plot(x,names,burnin,...)

Arguments

x	An object of S3 class, bayesm.hcoef
names	a list of names for the variables in the hierarchical model
burnin	no draws to burnin (def: 0.1*R)
...	standard graphics parameters

Details

Typically, plot.bayesm.hcoef will be invoked by a call to the generic plot function as in plot(object) where object is of class bayesm.hcoef. All of the bayesm hierarchical routines return draws of hierarchical coefficients in this class (see example below). One can also simply invoke plot.bayesm.hcoef on any valid 3-dim array as in plot.bayesm.hcoef(betadraws).

plot.bayesm.hcoef is also exported for use as a standard function, as in plot.bayesm.hcoef(array).

Author(s)

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

See Also

rhierMnlRwMixture,rhierLinearModel, rhierLinearMixture,rhierNegbinRw

Examples

## Not run: out=rhierLinearModel(Data,Prior,Mcmc); plot(out$betadraws)

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