compute_ccm: Run CCM on each pair of time series
In ha0ye/portalDS: Compute Dynamic Stability for Rodents at Portal

Runs pairwise CCM based on the simplex_output - using the best embedding dimension from the simplex results, and computed for both the real data and the surrogate data. The calculations run using furrr::future_pmap(). Thus, parallelization should be set by the user, if desired, using future::plan(), prior to running.

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compute_ccm(simplex_results, lib_sizes = seq(10, 100, by = 10),
  random_libs = TRUE, num_samples = 100, replace = TRUE,
  RNGseed = 42, silent = TRUE)

`simplex_results`	the output of `compute_simplex()`
`lib_sizes`	the vector of library sizes to try
`random_libs`	indicates whether to use randomly sampled libs
`num_samples`	is the number of random samples at each lib size (this parameter is ignored if random_libs is FALSE)
`replace`	indicates whether to sample vectors with replacement
`RNGseed`	will set a seed for the random number generator, enabling reproducible runs of ccm with randomly generated libraries
`silent`	prevents warning messages from being printed to the R console

A tibble with columns for the variables that we use in CCM, the data type (whether it's the "actual" time series or "surrogate"), the library size, and the results from CCM

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