Package index • PRC

All functions
`anova(<smoothPRC>)`	Permutation Test for Smooth PRC
`biomonitoring`	Biomonitoring example from van den Brink et al. (2009)
`CPFNUTphytoplankton`	Phytoplankon data from the chlorpyrifos-nutrient (CPF-NUT) experiment from van den Brink & ter Braak (1998)
`doPRC()`	Perform a Principal Response Curve analysis (PRC)
`fvalues4levels()`	Change numeric-like levels of a factor to a numeric
`get_focal_and_conditioning_factors()`	Get constraining and conditional variables from an rda or cca ordination
`Ossenkampen`	Data from Ossenkampen experiment
`plotPRC()`	1d PRC diagram
`plotPRC2d()`	2d PRC diagram
`plotsmoothPRC()`	smooth PRC diagram
`plot_sample_scores_cdt()`	PRC diagram of treatment and plot lines or points without species loading
`plot_smoothPRC_cdt()`	smooth PRC diagram of treatment and plot lines or points without species loading
`plot_species_scores_2d()`	Species ordination plot
`plot_species_scores_bk()`	Vertical ggplot2 line plot of ordination scores
`PRC_scores()`	Calculate principal response curve (PRC) scores from vegan::rda, cca, dbrda or capscale objects
`rdacca_taxon_stats()`	Taxon fit statistics of an rda or cca ordination
`set_smoothPRC_model()`	Define the model for smooth PRC using LMMsolver (Boer 2023)
`SimData`	Simulated data from Fig. 1 of ter Braak (2023)
`smoothPRC()`	Smooth PRC using LMMsolver (Boer, 2023)

Reference