FS                      Default forward selection function.
FS.dcca                 Forward selection of traits or environmental
                        variables using dc-CA.
FS.wrda                 Forward selection of predictor variables using
                        wrda or cca0
anova.cca0              Permutation Test for canonical correspondence
                        analysis
anova.dcca              Community- and Species-Level Permutation Test
                        in Double Constrained Correspondence Analysis
                        (dc-CA)
anova.wrda              Permutation Test for weighted redundancy
                        analysis
anova_sites             Utility function: community-level permutation
                        test in Double Constrained Correspondence
                        Analysis (dc-CA)
anova_species           Utility function: Species-level Permutation
                        Test in Double Constrained Correspondence
                        Analysis (dc-CA)
cca0                    Performs a canonical correspondence analysis
coef.dcca               Coefficients of double-constrained
                        correspondence analysis (dc-CA)
dc_CA                   Performs (weighted) double constrained
                        correspondence analysis (dc-CA)
dune_trait_env          Dune meadow data with plant species traits and
                        environmental variables
fCWM_SNC                Calculate community weighted means and species
                        niche centroids for double constrained
                        correspondence analysis
fN2                     Hill number of order 2: N2
fitted.dcca             Fitted values of double-constrained
                        correspondence analysis (dc-CA)
getPlotdata             Utility function: extracting data from a
                        'dc_CA' object for plotting a single axis by
                        your own code or 'plot.dcca'.
ipf2N2                  Iterative proportional fitting of an abundance
                        table to Hill-N2 marginals
plot.dcca               Plot a single dc-CA axis with CWMs, SNCs, trait
                        and environment scores.
plot_dcCA_CWM_SNC       Plot the CWMs and SNCs of a single dc-CA axis.
plot_species_scores_bk
                        Vertical ggplot2 line plot of ordination scores
predict.dcca            Prediction for double-constrained
                        correspondence analysis (dc-CA)
predict.wrda            Prediction from cca0 and wrda models
print.dcca              Print a summary of a dc-CA object.
print.wrda              Print a summary of a wrda or cca0 object
scores.dcca             Extract results of a double constrained
                        correspondence analysis (dc-CA)
scores.wrda             Extract results of a weighted redundancy
                        analysis (wrda) or a cca0 object.
wrda                    Performs a weighted redundancy analysis
