approx.bf.p: This function computes posterior probabilities for a variant...

In ollyburren/rCOGS: Computes gene prioritisation scores based on promoter capture Hi-C data

Description

This function computes posterior probabilities for a variant to be causal using Wakefields asymptotic Bayes Factors.

Usage

approx.bf.p(p, f, type = c("QUANT", "CC"), N, s, pi_i = 1e-04)

Arguments

p	vector of p.values for $i$ univariate tests of association for the trait of interest with a set of variants
f	a vector of length $i$ of minor allele frequencies in controls matching the order of p
type	a scalar taking the of the proportion of cases for each test.
N	a scalar or vector (of length $i$) of the total number of samples included in association test
s	a scalar or vector (of length $i$) of the proportion of cases for each test.
pi_i	a scalar of the prior probability that a given variant is causal (default=1e-4)

Value

a vector of prior probabilities.

ollyburren/rCOGS documentation built on Aug. 5, 2020, 2:13 p.m.