pbsEDM_optimal_E: Do the 'pbsEDM()' calculation for vector of 'E' values and...

In luke-a-rogers/pbsedm: An R package to implement some of the methods of empirical dynamic modelling

Do the 'pbsEDM()' calculation for vector of 'E' values and then return the optimal 'E'.

Description

Only works for one variable, non-differenced $N_t$, for now, as I haven't thought how to incorporate the lags variable properly yet. Calls 'pbsEDM_Evec' and then just returns the results for the optimal 'E', based on highest 'rho'.

Usage

pbsEDM_optimal_E(N_t, lags_to_test = 1:10, ...)

Arguments

N_t	[vector] Vector of non-differenced values $N_t$, with time assumed to be '1:length(N_t)'.
lags_to_test	vec Vector of lags to try (gets passed onto 'E_vec' in 'pbsEDM_Evec'; see Issue 28).
...	Further options to pass to 'pbsEDM_Evec()' and then onto 'pbsEDM()'.

Value

A 'pbsEDM' list corresponding to the optimal 'E', based on 'N_rho'.

Author(s)

Andrew Edwards

Examples

  aa <- pbsEDM_optimal_E(NY_lags_example$N_t)

luke-a-rogers/pbsedm documentation built on June 3, 2024, 5:20 a.m.