est_mu: Estimate the true effect at the causal variant using Z-scores...

In corrcoverage: Correcting the Coverage of Credible Sets from Bayesian Genetic Fine Mapping

Description

Estimate the true effect at the causal variant using Z-scores and MAFs

Usage

est_mu(z, f, N0, N1, W = 0.2)

Arguments

z	Vector of marginal Z-scores
f	Minor allele frequencies
N0	Number of controls
N1	Number of cases
W	Prior for the standard deviation of the effect size parameter, beta, default 0.2

Value

Estimate of the true effect at the causal variant

Author(s)

Anna Hutchinson

Examples

nsnps <- 100
z_scores <- rnorm(nsnps, 0, 3) # simulate a vector of Z-scores
N0 <- 5000 # number of controls
N1 <- 5000 # number of cases

maf <- runif(nsnps, 0.05, 0.5)

est_mu(z = z_scores, f = maf, N0 = N0, N1 = N1)

corrcoverage documentation built on Dec. 7, 2019, 1:07 a.m.