cip.tmp

This function provides the calculations needed to plot the conditional intrinsic prior based for a two alleles dataset as described in Consonni et al. (2011).

plot

intrinsic prior

conditional intrinsic prior

General (multi-allelic) Hardy-Weinberg equilibrium problem from an objective Bayesian testing standpoint. This aim is achieved through the identification of a class of priors specifically designed for this testing problem. A class of intrinsic priors under the full model is considered. This class is indexed by a tuning quantity, the training sample size, as discussed in Consonni, Moreno and Venturini (2010). These priors are objective, satisfy Savage's continuity condition and have proved to behave extremely well for many statistical testing problems.

Sergio Venturini

HWEintrinsic

Objective Bayesian Testing for the Hardy-Weinberg Equilibrium
Problem

cip.tmp function

<dl> <dt>p11</dt>
<dd>gentotype proportion for the alleles pair \(A_{1}A_{1}\).</dd> <dt>p21</dt>
<dd>gentotype proportion for the alleles pair \(A_{2}A_{1}\).</dd> <dt>t</dt>
<dd>training sample size.</dd> <dt>p</dt>
<dd>allele frequency used to condition the prior upon.</dd></dl>

Arguments

Sergio Venturini <a href="/link/sergio.venturini%40unicatt.it?package=HWEintrinsic&version=1.2.3" data-mini-rdoc="HWEintrinsic::sergio.venturini@unicatt.it">sergio.venturini@unicatt.it</a>

Author

Utility Function — cip.tmp

<dl>

 <dt>p11</dt>
<dd>gentotype proportion for the alleles pair \(A_{1}A_{1}\).</dd>

 <dt>p21</dt>
<dd>gentotype proportion for the alleles pair \(A_{2}A_{1}\).</dd>

 <dt>t</dt>
<dd>training sample size.</dd>

 <dt>p</dt>
<dd>allele frequency used to condition the prior upon.</dd>

</dl>

Sergio Venturini <a href='mailto:sergio.venturini@unicatt.it'>sergio.venturini@unicatt.it</a>

cip.tmp: Utility Function

Description

Usage

Value

Arguments

Author

References

See Also