adjust.linear.bayes: Use Laplace Approximations to improve linear approximations...

In bqtl: Bayesian QTL Mapping Toolkit

Use Laplace Approximations to improve linear approximations to the posterior

Description

The approximation provided by linear.bayes can be improved by performing Laplace approximations. This function is a development version of a wrapper to do that for all of the returned by linear.bayes.

Usage

adjust.linear.bayes(lbo, ana.obj=lbo$call$ana.obj, ...)

Arguments

lbo	The object returned by linear.bayes
ana.obj	The analysis.object used to create lbo. This need not be given explicitly, iff the original version is in the search path.
...	currently unused

Value

A list of class "adjust.linear.bayes" containing:

odds	A vector, typically of length k giving the odds for models of size 1, 2, ..., k under a uniform posterior relative to a model with no genes.
loc.posterior	The marginal posterior probabilities by locus
coefficients	The marginal posterior means of the coefficients
one.gene.adj	Results of fits for one gene models
n.gene.adj	Results of fits for modles with more than one gene
call	the call to adjust.linear.bayes

Note

For large linear.bayes objects invloving many gene models, this can require a very long time to run.

Author(s)

Charles C. Berry [e-mail]

See Also

linear.bayes

bqtl documentation built on Sept. 8, 2023, 5:44 p.m.