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

The package implements several ABC algorithms for
        performing parameter estimation and model selection.
        Cross-validation tools are also available for measuring the
        accuracy of ABC estimates, and to calculate the
        misclassification probabilities of different models.

Blum Michael

Tools for Approximate Bayesian Computation (ABC)

ppc function

Data to illustrate the posterior predictive checks for the data
  <code><a href="/link/human?package=abc&version=1.5" rd-options="" data-mini-rdoc="abc::human">human</a></code>. <code>ppc</code> and <code><a href="/link/human?package=abc&version=1.5" rd-options="" data-mini-rdoc="abc::human">human</a></code> are used to
  illustrate model selection and parameter inference in an ABC framework
  (see the package's vignette 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 package's vignette for more details).

Description

Usage

Arguments

See Also