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 |