plot.bayesm.hcoef {bayesm} | R Documentation |

## 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, |

`names` |
a list of names for the variables in the hierarchical model |

`burnin` |
no draws to burnin (def: |

`...` |
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, perossichi@gmail.com.

### See Also

`rhierMnlRwMixture`

,`rhierLinearModel`

,
`rhierLinearMixture`

,`rhierNegbinRw`

### Examples

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

*bayesm*version 3.1-6 Index]