post.bott

<code>data(ppc)</code> loads in the data frame <code>post.bott</code>, which
 contains the summary statistics calculated from data simulated a
 posteriori under the bottleneck model (see <code>data(human)</code> and the
 package's vignette for more details).

datasets

Contains data which are used by functions of the 'abc' package.

Blum Michael

abc.data

Data Only: Tools for Approximate Bayesian Computation (ABC)

Csillery Katalin

Lemaire Louisiane

Francois Olivier

ppc function

The <code>post.bott</code> data frame contains the following columns:<dl>
 <dt><code>pi</code></dt>
<dd>The mean nucleotide diversity over 50 loci.</dd> <dt><code>TajD.m</code></dt>
<dd>The mean of Tajima's D statistic over 50 loci.</dd> <dt><code>TajD.v</code></dt>
<dd>The variance of Tajima's D statistic over 50 loci.</dd> 
</dl>Each row represents a simulation. 1000 simulations
 were performed under the bottleneck model.

Format

Data to illustrate the posterior predictive checks for the data
  human. ppc and human are used to
  illustrate model selection and parameter inference in an ABC framework
  (see the vignette of the abc package for more details). — ppc

The <code>post.bott</code> data frame contains the following columns:<dl>
 <dt><code>pi</code></dt>
<dd>The mean nucleotide diversity over 50 loci.</dd>

 <dt><code>TajD.m</code></dt>
<dd>The mean of Tajima's D statistic over 50 loci.</dd>

 <dt><code>TajD.v</code></dt>
<dd>The variance of Tajima's D statistic over 50 loci.</dd>

 
</dl>Each row represents a simulation. 1000 simulations
 were performed under the bottleneck model.

Data to illustrate the posterior predictive checks for the data
 <code>human</code>. <code>ppc</code> and <code>human</code> are used to
 illustrate model selection and parameter inference in an ABC framework
 (see the vignette of the <code>abc</code> package for more details).

ppc: Data to illustrate the posterior predictive checks for the data `human`. `ppc` and `human` are used to illustrate model selection and parameter inference in an ABC framework (see the vignette of the `abc` package for more details).

Description

Usage

Arguments

Format