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abc (version 1.3)

Tools for Approximate Bayesian Computation (ABC)

Description

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.

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Version

Install

install.packages('abc')

Monthly Downloads

1,391

Version

1.3

License

GPL (>= 3)

Maintainer

Katalin Csillery and Michael Blum michaelblumimagfr

Last Published

May 10th, 2011

Functions in abc (1.3)

summary.cv4abc

Calculates the cross-validation prediction error
cv4abc

Cross validation for Approximate Bayesian Computation (ABC)
cv4postpr

Leave-one-our cross validation for model selection ABC
hist.abc

Posterior histograms
summary.postpr

Posterior model probabilities and Bayes factors
postpr

Estimating posterior model probabilities
human

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

Parameter estimation with Approximate Bayesian Computation (ABC)
plot.abc

Diagnostic plots for ABC
plot.cv4abc

Cross-validation plots for ABC
musigma2

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

Expected deviance
summary.abc

Summaries of posterior samples generated by ABC algortithms
summary.cv4postpr

Confusion matrix and misclassification probabilities of models
plot.cv4postpr

Barplot of model misclassification