test_nonlinearity {rEDM} | R Documentation |
test_nonlinearity
tests for nonlinearity using S-maps by
comparing improvements in forecast skill (delta rho and delta mae) between
linear and nonlinear models with a null distribution from surrogate data.
test_nonlinearity(ts, method = "ebisuzaki", num_surr = 200, T_period = 1, E = 1, ...)
ts |
the original time series |
method |
which algorithm to use to generate surrogate data |
num_surr |
the number of null surrogates to generate |
T_period |
the period of seasonality for seasonal surrogates (ignored for other methods) |
E |
the embedding dimension for s_map |
... |
optional arguments to s_map |
A data.frame containing the following components:
delta_rho | the value of the delta rho statistic |
delta_mae | the value of the delat mae statistic |
num_surr | the size of the null distribution |
delta_rho_p_value | the p-value for delta rho |
delta_mae_p_value | the p-value for delta mae |