coda: Coerce to an MCMC object for use with the coda package.
In byandell/qtlbim: QTL Bayesian Interval Mapping

Description Usage Arguments Details Value Author(s) References See Also Examples

This function creates an object of class mcmc from an object of class qb produced by the package R/qtlbim.

1	qb.coda(qbObject, element, variables, ...)

`qbObject`	An object of class `qb` returned by calling the function `qb.mcmc`.
`element`	A character string which has to one of `"iterdiag"`, `"mainloci"`, `"pairloci"`, `"covariates"`, or `"gbye"`; default is `"iterdiag"`.
`variables`	A vector of integers specifying the columns or column names of `element` to be considered. Details about the columns can be found in `qb.mcmc`
`...`	Additional arguments to pass along (mostly ignored).

This package requires the package coda.

An object of class mcmc. This object could be used to analyze the MCMC output using R/coda.

Dr. Nengjun Yi, et al., nyi@ms.ssg.uab.edu

http://www.qtlbim.org

mcmc, qb.mcmc, plot.qb

     
data(qbExample)

## Default plots for iteration diagnostics "iterdiag".
temp <- qb.coda(qbExample)
plot(temp)

## Summaries for some "mainloci" elements.
temp <- qb.coda(qbExample, "mainloci")
plot(temp)