plot.qrssvs {MCMCpack} | R Documentation

## Plot output from quantile regression stochastic search variable selection (QR-SSVS).

### Description

This function produces a Trellis plot of the predictors on the y-axis versus the marginal posterior probability of inclusion on the x-axis.

### Usage

    ## S3 method for class 'qrssvs'
    plot(x, ...)

### Arguments

`x` | An object of class `qrssvs`. Typically this will be the `gamma` component of the list returned by `SSVSquantreg`.
`...` | Further arguments

### Value

An object with class `"trellis"`. The associated `update` and `print` methods are documented in the "Lattice" package.

### Author(s)

Craig Reed

### References

Deepayan Sarkar. 2008. lattice: Lattice Graphics. R package version 0.17-17

### See Also

`SSVSquantreg`, `mptable`, `Lattice` for a brief introduction to lattice displays and links to further documentation.

### Examples

    ## Not run:
    set.seed(1)
    epsilon<-rnorm(100)
    set.seed(2)
    x<-matrix(rnorm(1000),100,10)
    y<-x[,1]+x[,10]+epsilon
    qrssvs<-SSVSquantreg(y~x)
    plot(qrssvs$gamma)
    ## Modify the graph by increasing the fontsize on the axes
    qrssvsplot<-plot(qrssvs$gamma)
    update(qrssvsplot, scales=list(cex=3))

    ## End(Not run)

[Package MCMCpack version 1.5-0 Index]