misc/findCS.md

In gdlc/BGLR-R: Bayesian Generalized Linear Regression

A forward approach to identify credible sets in Bayesian Variable Selection Models

The function findCS(), available here can be used to detect sets of SNPs jointly associated with a phenotype.

The function take as inputs the samples from the posterior distribution of a variable selection model (e.g., BayesC or BayesB priors), map information (chromosome and physical position of the SNPs) plus a few algorithm parameters to identify credible sets.

Credible set inferences can be useful when one has groups of SNPs in LD with elevated inclusion probability with no-individual SNP reaching a sufficiently high inclusion probability.

The following handout describes the types of problems where this function can be useful, and provides a toy-simulation example that illustrates how to use the function.

gdlc/BGLR-R documentation built on April 23, 2024, 11:01 p.m.