bees                    Bee data
compare_conditions      Calculates PCCs and c-values based on pairwise
                        comparison of conditions.
compare_groups          Calculate the c-value of the difference in PCCs
                        produced by two groups
compare_hypotheses      Calculate the c-value of the difference in PCCs
                        produced by two hypotheses
correct_pairs           Return the number of pairs of observations
                        matched by the hypothesis
cval_plot               Plot individual chance values
group_cvals             Return the group chance values of the specified
                        model
group_pccs              Return the group PCCs of the specified model
group_results           Group-level PCC and chance values.
hypothesis              Create a hypothesis object
incorrect_pairs         Return the number of pairs of observations not
                        matched by the hypothesis
individual_cvals        Return the individual chance values of the
                        specified model
individual_pccs         Return the individual PCCs of the specified
                        model
individual_results      Individual-level PCC and chance values.
opa                     Fit an ordinal pattern analysis model
pcc_plot                Plot individual PCCs.
pituitary               Childhood growth data
plot.opaGroupComparison
                        Plot group comparison PCC replicates.
plot.opaHypothesisComparison
                        Plot hypothesis comparison PCC replicates.
plot.opafit             Plots individual-level PCCs and chance-values.
plot.opahypothesis      Plot a hypothesis.
plot.oparandpccs        Plot PCC replicates.
print.opaGroupComparison
                        Prints a summary of results from hypothesis
                        comparison.
print.opaHypothesisComparison
                        Prints a summary of results from hypothesis
                        comparison.
print.opafit            Displays the call used to fit an ordinal
                        pattern analysis model.
print.opahypothesis     Print details of a hypothesis
print.pairwiseopafit    Displays the results of a pairwise ordinal
                        pattern analysis.
random_pccs             Return the random order generated PCCs used to
                        calculate the group chance value
summary.opaGroupComparison
                        Prints a summary of results from hypothesis
                        comparison.
summary.opaHypothesisComparison
                        Prints a summary of results from hypothesis
                        comparison.
summary.opafit          Prints a summary of results from a fitted
                        ordinal pattern analysis model.
