ace_cor                 Calculates ace based transformations and
                        correlation, handling missing values and
                        factors.
add_nobs_to_pairwise    Adds number of observations column to pairwise
                        tibble
as.matrix.pairwise      Converts a pairwise to a symmetric matrix. Uses
                        the first entry for each (x,y) pair.
pair_ace                Alternating conditional expectations
                        correlation
pair_cancor             Canonical correlation
pair_chi                Pearson's Contingency Coefficient for
                        association between factors.
pair_control            Default scores calculated by 'pairwise_scores'
pair_cor                Pearson, Spearman or Kendall correlation
pair_dcor               Distance correlation
pair_gkGamma            Goodman Kruskal's Gamma for association between
                        ordinal factors.
pair_gkTau              Goodman Kruskal's Tau for association between
                        ordinal factors.
pair_kendall            Kendall's correlation
pair_methods            Pairwise score functions available in the
                        package
pair_mine               MINE family values
pair_nmi                Normalized mutual information
pair_polychor           Polychoric correlation
pair_polyserial         Polyserial correlation
pair_scagnostics        Graph-theoretic scagnostics values
pair_spearman           Spearman correlation
pair_tauA               Kendall's tau A for association between ordinal
                        factors.
pair_tauB               Kendall's tau B for association between ordinal
                        factors.
pair_tauC               Stuarts's tau C for association between ordinal
                        factors.
pair_tauW               Kendall's W for association between ordinal
                        factors.
pair_uncertainty        Uncertainty coefficient for association between
                        factors.
pairwise                A generic function to create a data structure
                        for summarising variable pairs in a dataset
pairwise_by             Constructs a pairwise result for each level of
                        a by variable.
pairwise_multi          Calculates multiple scores
pairwise_scores         Calculates scores or conditional scores for a
                        dataset
plot.pairwise           Plot method for class 'pairwise'.
plot_pairwise           Pairwise plot in a matrix layout
plot_pairwise_linear    Pairwise plot in a linear layout
