binary_to_liability: Convert binary traits to liabilities for low prevalence

In lcrawlab/mvMAPIT: Multivariate Genome Wide Marginal Epistasis Test

Convert binary traits to liabilities for low prevalence

Description

This function implements an approximate conversion of binary traits to liabilties as proposed in the LT-MAPIT model (Crawford and Zhou 2018, https://doi.org/10.1101/374983). Note that this is only good for low prevalence. To run LT-MAPIT (MAPIT on case-control traits), convert the binary traits to liabilities using this function and pass the liabilities to mvmapit as trait.

Usage

binary_to_liability(case_control_trait, prevalence)

Arguments

case_control_trait	Case-control trait encoded as binary trait with 0 as control or 1 as case.
prevalence	Case prevalence between 0 and 1. Proportion of cases in the population.

Value

A trait vector of same length as y with case-control indicators converted to liabilties.

lcrawlab/mvMAPIT documentation built on Oct. 25, 2024, 5:29 p.m.