abc                     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
hist.abc                Posterior histograms
human                   A set of R objects containing observed data
                        from three human populations, and simulated
                        data under three different demographic models.
                        The data set is used to illustrate model
                        selection and parameter inference in an ABC
                        framework (see the package's vignette for more
                        details).
musigma2                A set of objects used to estimate the
                        population mean and variance in a Gaussian
                        model with ABC.
plot.abc                Diagnostic plots for ABC
plot.cv4abc             Cross-validation plots for ABC
plot.cv4postpr          Barplot of model misclassification
postpr                  Estimating posterior model probabilities
ppc                     Data to illustrate the posterior predictive
                        checks for the data 'human'. 'ppc' and 'human'
                        are used to illustrate model selection and
                        parameter inference in an ABC framework (see
                        the package's vignette for more details).
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.postpr          Posterior model probabilities and Bayes factors
