Function reference • mrlocus

Data input and preprocessing Convenience functions for preparing input to model
`collapseHighCorSNPs()`	Collapse high correlation SNPs
`flipAllelesAndGather()`	Flip alleles and gather results into lists
`plotInitEstimates()`	Plot initial estimates over signal clusters
`trimClusters()`	Trim signal clusters based on pairwise r2
Fitting the MRLocus model Two step Bayesian model and convenience function
`fitBetaColoc()`	Fit the colocalization model per signal cluster
`extractForSlope()`	Extract SNPs from colocalization for slope fitting
`fitSlope()`	Fit the mediation slope model: effect of A on B
Visualization of model fit
`plotMrlocus()`	Plot estimates from MRLocus slope fitting step
`normalizedAllelicSpread()`	Estimate the normalized allelic spread
`priorCheck()`	Basic prior checks on MRLocus slope fit
Simulation
`makeSimDataForMrlocus()`	Make simple simulated summary data
Package man page
`mrlocus-package` `mrlocus`	MRLocus - see this page for typical order of functions

Reference