SinglefPrior {HWEBayes}R Documentation

Samples from the single f prior.

Description

Function to sample from the single f prior, that is the Dirichlet and normal on λ, where λ=log((f-f_{min})/(1-f)).

Usage

SinglefPrior(nsim, alpha, lambdamu, lambdasd)

Arguments

nsim number of simulations from prior
alpha vector of k parameters for the Dirichlet prior on the k allele frequencies.
lambdamu mean of the normal prior on λ.
lambdasd standard deviation of the normal prior on λ.

Value

p sample for vector of k allele frequencies
f sample of f parameters
lgts samples for logits of baseline logits
lambda samples for λ

Author(s)

Jon Wakefield (jonno@u.washington.edu)

References

Wakefield, J. (2009). Bayesian methods for examining Hardy-Weinberg equilibrium. Biometrics.

See Also

SinglefReject, HWEsimdat

Examples

SinglefSamp <- SinglefPrior(nsim=1000,alpha=c(1,1,1,1),
  lambdamu=-2.95,lambdasd=1.07)

[Package HWEBayes version 1.0 Index]