lor_constraint: This function computes a probability for a given...

In ollyburren/cupcake: PCA for GWAS

Description

This function computes a probability for a given configuration of beta distribution shape parameters estimate the P(OR > target.or). lor_constraint estimate the P(OR > target.or) given shape parameters for case and control allele frequency

Usage

lor_constraint(a1, a0, b0, p0, target.or, nsim)

Arguments

a1	a scalar - beta distribution alpha shape parameter for prior on allele frequency in cases
a0	a scalar - beta distribution alpha shape parameter for prior on allele frequency in controls
b0	a scalar - beta distribution beta shape parameter for prior on allele frequency in controls
p0	a vector - a set of samples from beta(a0,b0)
target.or	a scalar - an odds ratio threshold to compute P(sim.or > target.or)
nsim	a scalar - number of log odds ratios to simulate from the posterior distribution

Value

scalar - P(sim.or>target.or)

ollyburren/cupcake documentation built on July 30, 2020, 9:58 a.m.