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 |
... |
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 1.7-0 Index]