Learn R Programming

iBATCGH (version 1.3.1)

InferenceSd: Postprocessing - Inference on the vector of state specific sd

Description

This function returns a vector obtained as the elementwise mean of the vectors of state specific standard deviation, output of the Monte Carlo Markov Chain iterations, after removing burn-in.

Usage

InferenceSd(listSd, niter, burnin)

Arguments

listSd

Fourth niter objects of the output of the main function

niter

Number of Monte Carlo Markov Chain iterations

burnin

Burn-in

Value

Estimated vector of state specific sd.

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

Run this code
# NOT RUN {
##See Inference
# }

Run the code above in your browser using DataLab