ppc: Data to illustrate the posterior predictive checks for the...

In abc.data: Data Only: Tools for Approximate Bayesian Computation (ABC)

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

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

Usage

data(ppc)

Format

The post.bott data frame contains the following columns:

pi

The mean nucleotide diversity over 50 loci.

TajD.m

The mean of Tajima's D statistic over 50 loci.

TajD.v

The variance of Tajima's D statistic over 50 loci.

Each row represents a simulation. 1000 simulations were performed under the bottleneck model.

abc.data documentation built on May 29, 2024, 10:49 a.m.