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spEDM (version 1.7)

fnn: false nearest neighbours

Description

false nearest neighbours

Usage

# S4 method for sf
fnn(
  data,
  target,
  lib = NULL,
  pred = NULL,
  E = 1:10,
  tau = 1,
  nb = NULL,
  rt = 10,
  eps = 2,
  threads = detectThreads(),
  detrend = TRUE
)

# S4 method for SpatRaster fnn( data, target, lib = NULL, pred = NULL, E = 1:10, tau = 1, rt = 10, eps = 2, threads = detectThreads(), detrend = TRUE )

Value

A vector

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 spatial lags.

nb

(optional) neighbours list.

rt

(optional) escape factor.

eps

(optional) neighborhood diameter.

threads

(optional) number of threads to use.

detrend

(optional) whether to remove the linear trend.

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

Run this code
columbus = sf::read_sf(system.file("case/columbus.gpkg", package="spEDM"))
# \donttest{
fnn(columbus,"crime")
# }

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