fnn: false nearest neighbours

In tEDM: Temporal Empirical Dynamic Modeling

false nearest neighbours

Description

false nearest neighbours

Usage

## S4 method for signature 'data.frame'
fnn(
  data,
  target,
  lib = NULL,
  pred = NULL,
  E = 2:10,
  tau = 1,
  dist.metric = "L1",
  rt = 10,
  eps = 2,
  threads = length(E)
)

Arguments

data	observation data.
target	name of target variable.
lib	(optional) libraries indices.
pred	(optional) predictions indices.
E	(optional) embedding dimensions.
tau	(optional) step of time lags.
dist.metric	(optional) distance metric (L1: Manhattan, L2: Euclidean).
rt	(optional) escape factor.
eps	(optional) neighborhood diameter.
threads	(optional) number of threads to use.

Value

A vector

References

Kennel M. B., Brown R. and Abarbanel H. D. I., Determining embedding dimension for phase-space reconstruction using a geometrical construction, Phys. Rev. A, Volume 45, 3403 (1992).

Examples

sim = logistic_map(x = 0.4,y = 0.4,step = 45,beta_xy = 0.5,beta_yx = 0)
fnn(sim,"x",threads = 1)

tEDM documentation built on Aug. 25, 2025, 5:12 p.m.