abcrf                   Create an ABC-RF object: a classification
                        random forest from a reference table towards
                        performing an ABC model choice
covRegAbcrf             Predict posterior covariance between two
                        parameters for new data using two reg-ABC-RF
                        objects
densityPlot             Plot the posterior density given a new summary
                        statistic
err.abcrf               Calculate and plot for different numbers of
                        tree, the out-of-bag errors associated with an
                        ABC-RF object
err.regAbcrf            Calculate and plot for different numbers of
                        tree, the out-of-bag mean squared errors
                        associated with a REG-ABC-RF object
plot.abcrf              Plot of an ABC-RF object
plot.regAbcrf           Plot of a reg-ABC-RF object
predict.abcrf           Predict and evaluate the posterior probability
                        of the MAP for new data using an ABC-RF object
predict.regAbcrf        Predict posterior expectation, median, variance
                        and quantiles given a new dataset using a
                        reg-ABC-RF object
predictOOB              Predict out-of-bag posterior expectation,
                        median, variance, quantiles and error measures
                        using a reg-ABC-RF object
readRefTable            Read a reference table simulated from DIYABC
regAbcrf                Create a reg-ABC-RF object: a regression random
                        forest from a reference table aimed out
                        predicting posterior expectation, variance and
                        quantiles for a parameter
snp                     A simulated example in population genetics
variableImpPlot         Variable importance plot from a random forest
