Function reference • REcopol

Diversity Functions for estimation diversity
`diversity_estimate()`	Estimate diversity for community data
`diversity_estimate_taxonomic()`	Estimate taxonomic diversity using Hill numbers
`diversity_estimate_functional()`	Estimate functional diversity
`diversity_estimate_phylogenetic()`	Estimating phylogenetic diversity
Ordinations Functions to fit Detrended (Canonical) Correspondence Analysis
`fit_ordination()`	Fit ordination
`fit_ordination_dca()`	Fit DCA
`fit_ordination_dcca()`	Fit DCCA using CANOCO
GAM modeling Functions to fit, predict, and visualise generalized additive models (GAM) models
`fit_custom_gam()`	Fit custom single-term GAM model
`fit_hgam()`	Fit single-term hierarchical GAM model
`fit_multiple_gams()`	Fit multiple individual generalized additive models (GAMs)
`predic_model()`	Predict data from a regression model
`plot_temporal_trend()`	Plot temporal trend
Change-point analyses and regression partition Functions for detection of change points in temporal patterns
`regression_partition()`	Partition data using regression tree
`mv_regression_partition()`	Multivariate regression partitioning
`get_change_points()`	Detect change points in a vector
`get_change_points_all()`	Detect change points for all columns
`add_data_partition()`	Add partition of data
Utility Functions for operation with (not only) fossil pollen data
`add_age_bin()`	add age time bin
`transfer_into_proportions()`	Transform pollen data into percentages
`tranform_percentage_data()`	Transform pollen data using selected transformation
`get_density()`	Get density from a vector of numbers

Reference

Diversity

Ordinations

GAM modeling

Change-point analyses and regression partition

Utility