MCMCpack: plot.qrssvs – R documentation

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plot.qrssvs

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

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)

MCMCpack

Markov Chain Monte Carlo (MCMC) Package

v1.5-0

GPL-3

Authors

Andrew D. Martin [aut], Kevin M. Quinn [aut], Jong Hee Park [aut,cre], Ghislain Vieilledent [ctb], Michael Malecki[ctb], Matthew Blackwell [ctb], Keith Poole [ctb], Craig Reed [ctb], Ben Goodrich [ctb], Ross Ihaka [cph], The R Development Core Team [cph], The R Foundation [cph], Pierre L'Ecuyer [cph], Makoto Matsumoto [cph], Takuji Nishimura [cph]

Initial release

2021-01-19