Samples from the single f prior.

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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

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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. (2010). Bayesian methods for examining Hardy-Weinberg equilibrium. Biometrics; Vol 66:257-65

See Also

SinglefReject, HWEsimdat

Examples

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