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