| abc | Parameter estimation with Approximate Bayesian Computation (ABC) |
| abc.return | Parameter estimation with Approximate Bayesian Computation (ABC) |
| cv4abc | Cross validation for Approximate Bayesian Computation (ABC) |
| cv4postpr | Leave-one-our cross validation for model selection ABC |
| expected.deviance | Expected deviance |
| getmode | Summaries of posterior samples generated by ABC algortithms |
| 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 models |
| summary.gfit | Calculates the p-value of the goodness-of-fit test. |
| summary.postpr | Posterior model probabilities and Bayes factors |