| abc | Parameter estimation with Approximate Bayesian Computation... | 
| cv4abc | Cross validation for Approximate Bayesian Computation (ABC) | 
| cv4postpr | Leave-one-our cross validation for model selection ABC | 
| expected.deviance | Expected deviance | 
| gfit | Goodness of fit | 
| gfitpca | Goodness of fit with principal component analysis | 
| hist.abc | Posterior histograms | 
| plot.abc | Diagnostic plots for ABC | 
| plot.cv4abc | Cross-validation plots for ABC | 
| plot.cv4postpr | Barplot of model misclassification | 
| plot.gfit | Goodness-of-fit plot for ABC | 
| postpr | Estimating posterior model probabilities | 
| summary.abc | Summaries of posterior samples generated by ABC algortithms | 
| summary.cv4abc | Calculates the cross-validation prediction error | 
| summary.cv4postpr | Confusion matrix and misclassification probabilities of... | 
| summary.gfit | Calculates the p-value of the goodness-of-fit test. | 
| summary.postpr | Posterior model probabilities and Bayes factors | 
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