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abc (version 2.1)

Tools for Approximate Bayesian Computation (ABC)

Description

Implements several ABC algorithms for performing parameter estimation, model selection, and goodness-of-fit. 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

2.1

License

GPL (>= 3)

Maintainer

Blum Michael

Last Published

May 5th, 2015

Functions in abc (2.1)

cv4postpr

Leave-one-our cross validation for model selection ABC
plot.cv4abc

Cross-validation plots for ABC
summary.abc

Summaries of posterior samples generated by ABC algortithms
summary.cv4postpr

Confusion matrix and misclassification probabilities of models
expected.deviance

Expected deviance
summary.postpr

Posterior model probabilities and Bayes factors
plot.abc

Diagnostic plots for ABC
hist.abc

Posterior histograms
summary.gfit

Calculates the p-value of the goodness-of-fit test.
postpr

Estimating posterior model probabilities
abc

Parameter estimation with Approximate Bayesian Computation (ABC)
cv4abc

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

Calculates the cross-validation prediction error
gfitpca

Goodness of fit with principal component analysis
plot.gfit

Goodness-of-fit plot for ABC
gfit

Goodness of fit
plot.cv4postpr

Barplot of model misclassification