hwe.bf {HWEintrinsic} | R Documentation |
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 |
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 sergio.venturini@unicatt.it
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)
[Package HWEintrinsic version 1.2.3 Index]