plot: Diagnostics plots for Bayesian interval mapping

In byandell/qtlbim: QTL Bayesian Interval Mapping

Description

Diagnostic plots highlight putative QTL loci and effects as well as providing graphical model assessment tools.

Usage

## S3 method for class 'qb'
plot(x, ask = qrDevices::dev.interactive(), verbose = TRUE, ...)
## S3 method for class 'qb'
print(x, ...)
## S3 method for class 'qb'
summary(object, cutoff = 1, ...)

Arguments

x	An object of class qb.
object	An object of class qb.
verbose	Verbose summaries if TRUE.
ask	Ask before each plot if TRUE.
cutoff	Cutoff passed to qb.BayesFactor.
...	graphical parameters can be given as arguments to plot

Details

This generic plot routine takes an object of class qb created by qb.mcmc and produces plots via calls to several other plot routines. The generic summary produces a summary, while the generic print passes through to summary.

Author(s)

Brian S. Yandell, [e-mail]

References

http://www.qtlbim.org

See Also

plot, print, summary, qb.mcmc, qb.coda, qb.loci, qb.BayesFactor, qb.hpdone, qb.epistasis, qb.diag

Examples

data(qbExample)

plot(qbExample)
summary(qbExample)

byandell/qtlbim documentation built on Dec. 19, 2021, 12:47 p.m.