InferenceA: Postprocessing - Inference on the transition matrix

In iBATCGH: Integrative Bayesian Analysis of Transcriptomic and CGH Data

Description

This function returns a matrix obtained as the elementwise mean of the association matrices, output of the Monte Carlo Markov Chain iterations, after removing burn-in.

Usage

InferenceA(listA, niter, burnin)

Arguments

listA	Second niter objects of the output of the main function
niter	Number of Monte Carlo Markov Chain iterations
burnin	Burn-in

Value

Estimated transition matrix.

Author(s)

Alberto Cassese

References

Cassese A, Guindani M, Tadesse M, Falciani F, Vannucci M. A hierarchical Bayesian model for inference of copy number variants and their association to gene expression. Annals of Applied Statistics, 8(1), 148-175.
Cassese A, Guindani M, Vannucci M. A Bayesian integrative model for genetical genomics with spatially informed variable selection. Cancer Informatics.

See Also

See Also as Inference

Examples

##See Inference

iBATCGH documentation built on Oct. 23, 2020, 6:34 p.m.