compute_ccm_links: Identify the significant CCM links
In ha0ye/portalDS: Compute Dynamic Stability for Rodents at Portal

Using the output of compute_ccm(), determine which links are significant. Significant links (x "causes" y) are where:

ccm rho for the actual time series x and y is greater than the null_quantile level of the surrogate data (at the largest library size)
the increase in rho for the actual time series x and y between the smallest and largest library sizes is greater than delta_rho_threshold

1 2	compute_ccm_links(ccm_results, null_quantile = 0.975, delta_rho_threshold = 0.1)

`ccm_results`	the output from `compute_ccm()` that we generate the links for
`null_quantile`	the quantile of the surrogate which we desire the actual ccm rho to exceed (the default value of `0.975` corresponds to the upper cutoff of a 95% CI)
`delta_rho_threshold`	the absolute increase which we desire the actual ccm rho values to exceed, when comparing the smallest and largest library sizes

A tibble with the filtered significant links, along with the values of the test statistics that were computed (delta_rho and rho_minus_upper_q_null)

ha0ye/portalDS documentation built on March 28, 2020, 1:21 p.m.