hwe.bf: Standard Bayes Factor for the Hardy-Weinebrg Testing Problem

In sergioventurini/HWEintrinsic: Objective Bayesian Testing for the Hardy-Weinberg Equilibrium Problem

Standard Bayes Factor for the Hardy-Weinebrg Testing Problem

Description

This function provides the calculations for obtaining the standard Bayes factor for the Hardy-Weinberg testing problem. It implements a common default prior (constant) for both the null and the alternative models.

Usage

  hwe.bf(y)

Arguments

y	an object of class "HWEdata".

Value

hwe.bf returns the standard Bayes Factor value for the Hardy-Weinberg testing problem (see the references for the details).

Note

The Bayes factor computed here is for the unrestricted model (M_1) against the Hardy-Weinberg case (M_0).

Author(s)

Sergio Venturini [e-mail]

References

Consonni, G., Moreno, E., and Venturini, S. (2011). "Testing Hardy-Weinberg equilibrium: an objective Bayesian analysis". Statistics in Medicine, 30, 62–74. https://onlinelibrary.wiley.com/doi/10.1002/sim.4084/abstract

See Also

hwe.ibf, hwe.ibf.mc, hwe.ibf.plot.

Examples

# Example 1 #
data(GuoThompson8)
plot(GuoThompson8)
hwe.bf(GuoThompson8)

# Example 2 #
data(LouisDempster)
plot(LouisDempster)
hwe.bf(LouisDempster)

sergioventurini/HWEintrinsic documentation built on Oct. 19, 2023, 12:40 a.m.