Function reference • portalDS

All functions
`add_regime_shift_highlight()`	Highlight specific time spans
`compute_ccm()`	Run CCM on each pair of time series
`compute_ccm_links()`	Identify the significant CCM links
`compute_dynamic_stability()` `build_dynamic_stability_plan()`	Dynamic stability analysis for community time series
`compute_eigen_decomp()`	Compute eigen-decompositions of the Jacobian matrices
`compute_simplex()`	Run univariate analysis on each time series
`compute_smap_coeffs()`	Compute S-map coefficients for a community
`compute_smap_matrices()`	Generate the matrices of S-map coefficients
`compute_svd_decomp()`	Compute singular value decompositions of the Jacobian matrics
`compute_total_variance()`	Compute total variance of the Jacobian matrics
`compute_volume_contraction()`	Compute volume contraction of the Jacobian matrics
`extract_matrix_values()`	Convert list of eigenvalues into long-form data.frame
`get_smap_coefficients()`	Compute S-map coefficients for a given target variable
`maizuru_block`	Time series for the Maizuru Bay fish community
`make_portal_block()`	Get a data.frame of Portal rodent abundances
`make_surrogate_annual_spline()`	make_surrogate_annual_spline
`norm_rescale()`	linear rescaling function
`plot_eigenvalues()` `plot_svd_values()`	Plot eigenvalues of the S-map (coefficient) matrices
`plot_eigenvectors()` `plot_svd_vectors()`	Plot time-varying vector components
`plot_indicator_values()` `plot_volume_contraction()` `plot_total_variance()`	Plot numerical metrics computed on the S-map (coefficient) matrices
`plot_network()`	plot_network
`plot_smap_coeffs()`	plot_smap_coeffs
`plot_time_series()`	plot_time_series
`simulate_3sp_food_chain()`	Get a data.frame of simulated abundances (3-species food chain)
`simulate_LPA_flour_beetles()`	Get a data.frame of simulated abundances (3-stage flour beetles)
`simulate_resource_competition()` `sim_resource_competition_12sp()`	Get a data.frame of simulated abundances (resource competition)

Reference

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