plot.bayesm.hcoef {bayesm} | R Documentation |
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.
## S3 method for class 'bayesm.hcoef' plot(x,names,burnin,...)
x |
An object of S3 class, |
names |
a list of names for the variables in the hierarchical model |
burnin |
no draws to burnin (def: 0.1*R) |
... |
standard graphics parameters |
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)
.
Peter Rossi, Anderson School, UCLA, perossichi@gmail.com.
rhierMnlRwMixture
,rhierLinearModel
,
rhierLinearMixture
,rhierNegbinRw
## Not run: out=rhierLinearModel(Data,Prior,Mcmc); plot(out$betadraws)