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abc (version 1.0)

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

1.0

License

Unlimited

Maintainer

Katalin Csillery and Michael Blum michaelblumimagfr

Last Published

October 5th, 2010

Functions in abc (1.0)

summary.cv4abc

Calculates the cross-validation prediction error
plot.cv4abc

Cross-validation plots for ABC
abc

Parameter estimation via Approximate Bayesian Computation (ABC)
musigma2

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

A set of R objects used to illustrate model selection in an ABC framework
summary.abc

Summaries of posterior samples generated by ABC algortithms
hist.abc

Posterior histograms
postpr

Estimating posterior model probabilities
plot.abc

Diagnostic plots for ABC
summary.postpr

Posterior model probabilities and Bayes factors
cv4abc

Cross validation for Approximate Bayesian Computation (ABC)