false nearest neighbours

Usage

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

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

Arguments

data: The observation data.
target: Name of target variable.
lib: (optional) Libraries indices.
pred: (optional) Predictions indices.
E: (optional) Dimensions of the embedding.
tau: (optional) Step of spatial lags.
nb: (optional) The neighbours list.
rt: (optional) escape factor.
eps: (optional) neighborhood diameter.
threads: (optional) Number of threads.
trend.rm: (optional) Whether to remove the linear trend.

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

columbus = sf::read_sf(system.file("case/columbus.gpkg", package="spEDM"))
# \donttest{
fnn(columbus,"crime")
#>        E:1        E:2        E:3        E:4        E:5        E:6        E:7 
#> 0.79591837 0.53061224 0.63265306 0.51020408 0.12244898 0.04081633 0.00000000 
#>        E:8 
#> 0.00000000 
# }