Bayesian enumeration of hypotheses

Two trait colocalisation and single trait fine mapping under single causal variant assumptions

coloc.abf()

Fully Bayesian colocalisation analysis using Bayes Factors

finemap.abf()

Bayesian finemapping analysis

Sensitivity analysis

Check how robust inference is to changing prior parameter values

sensitivity()

Prior sensitivity for coloc

Relaxing the single variant assumption

use conditioning or masking to account for multiple independent causal variants per trait

coloc.susie()

run coloc using susie to detect separate signals

runsusie()

Run susie on a single coloc-structured dataset