abctools (version 0.1-2)

abctools-package: Routines for ABC inference, including methods for summary statistics selection.

Description

This package contains functions implementing recent methods for selecting summary statistics in ABC inference.

docType

package

Details

ll{ Package: abctools Type: Package Version: 0.1-2 Date: 10-02-2013 License: GPL-2 LazyLoad: yes }

References

For details on methods for summary statistics selection, see Blum, M. G. B, Nunes, M. A., Prangle, D. and Sisson, S. A. (2013) A comparative review of dimension reduction methods in approximate Bayesian computation. Stat. Sci. (to appear). Fearnhead, P. and Prangle, D. (2012) Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation. J. R. Stat. Soc. B 74, Part 3, 1--28. Joyce, P. and P. Marjoram (2008) Approximately sufficient statistics and Bayesian computation. Stat. Appl. Gen. Mol. Biol. 7 Article 26. Nunes, M. A. and Balding, D. J. (2010) On Optimal Selection of Summary Statistics for Approximate Bayesian Computation. Stat. Appl. Gen. Mol. Biol. 9, Iss. 1, Art. 34. Wegmann, D. et al. (2009) Efficient approximate Bayesian computation coupled With Markov chain Monte Carlo Without Likelihood. Genetics 182 (4), 1207--1218. For extra scripts used for pls.abc, see:

Wegmann, D. et al. (2010) ABCtoolbox: A versatile toolkit for approximate Bayesian computations. BMC Bioinf. 11, 116--123.