BFUpdatePosterior: Updates posteriors for testing nested models that differ by...

In markvdwiel/ShrinkBayes: Bayesian analysis of high-dimensional omics data, either Gaussian or counts

Updates posteriors for testing nested models that differ by more than one variable or simply extracts all posteriors for one particular parameter

Description

Updates posteriors from output by ShrinkSeq or ShrinkGauss. Useful for testing nested models or for simply extracting posteriors for a particular parameter after applying FitAllShrink.

Usage

BFUpdatePosterior(fitall, updateoutput,fitall0=NULL, modus="fixed", shrinkpara=NULL, shrinklc=NULL, ncpus=1,only0=FALSE)

Arguments

fitall	A 2-component list object resulting from FitAllShrink or from CombinePosteriors.
fitall0	An optional 2-component list object resulting from FitAllShrink containing the fits under the null-model.
updateoutput	A list object resulting from ShrinkSeq or ShrinkGauss.
modus	Character string. Either "fixed", "random" or "logdisp". Type of variable for which the posterior is desired.
shrinkpara	Character or character vector. Name(s) of the variable(s) for which the posterior is desired. Corresponding variable can be a factor.
shrinklc	Character string. Name of the linear combination for which the posterior is desired.
ncpus	Integer. The number of cpus to use for parallel computations.
only0	Boolean. If TRUE, the function only computes the posterior probability of the null-model.

Details

This function is mostly useful for testing nested models that differ by more than one variable.

Value

A list object with the same number of components as the first component of fitall (number of fits), each containing 3-component lists which contain

postbetanon0	Continuous component of the posterior (as matrix)
postbeta0	Point mass (often zero) mixture proportion. Zero if fitall0=NULL
loglik	Marginal log-likelihood

Author(s)

Mark A. van de Wiel

markvdwiel/ShrinkBayes documentation built on March 27, 2022, 7:47 p.m.