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abc (version 1.2)

Functions to perform Approximate Bayesian Computation (ABC) using simulated data

Description

The 'abc' package provides various functions for parameter estimation and model selection in an ABC framework. Three main functions are available: (i) 'abc' implements several ABC inference algorithms, (ii) 'cv4abc' is a cross-validation tool to evaluate the quality of the estimation and help the choice of tolerance rate, and (iii) 'postpr' implements model selection in an ABC setting. All these functions are accompanied by appropriate summary and plotting functions.

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Version

Install

install.packages('abc')

Monthly Downloads

1,391

Version

1.2

License

GPL (>= 2)

Maintainer

Katalin Csillery and Michael Blum michaelblumimagfr

Last Published

January 15th, 2011

Functions in abc (1.2)

human

A set of R objects used to illustrate model selection in an ABC framework
musigma2

A set of objects used to estimate the population mean and variance in a Gaussian model with ABC.
summary.abc

Summaries of posterior samples generated by ABC algortithms
abc

Parameter estimation via Approximate Bayesian Computation (ABC)
postpr

Estimating posterior model probabilities
cv4abc

Cross validation for Approximate Bayesian Computation (ABC)
plot.cv4abc

Cross-validation plots for ABC
summary.postpr

Posterior model probabilities and Bayes factors
summary.cv4abc

Calculates the cross-validation prediction error
hist.abc

Posterior histograms
plot.abc

Diagnostic plots for ABC