HWEBayes (version 1.4)

SinglefPrior: Samples from the single f prior.

Description

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

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 $\lambda$.

lambdasd

standard deviation of the normal prior on $\lambda$.

Value

• p
  sample for vector of $k$ allele frequencies
• f
  sample of $f$ parameters
• lgts
  samples for logits of baseline logits
• lambda
  samples for $\lambda$

References

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

See Also

SinglefReject, HWEsimdat

Examples

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