spatial_hetero_test_data: Test the spatial heterogeneity in data based on permutation.

In hgwrr: Hierarchical and Geographically Weighted Regression

Test the spatial heterogeneity in data based on permutation.

Description

Test the spatial heterogeneity in data based on permutation.

Usage

spatial_hetero_test_data(
  x,
  coords,
  ...,
  resample = 5000,
  poly = 2,
  bw = 10,
  kernel = c("bisquared", "gaussian"),
  verbose = 0
)

Arguments

x	A matrix of data to be tested. Each column is a variable.
coords	A matrix of coordinates.
...	Additional arguments.
resample	The total times of resampling with replacement. Default to 5000.
poly	The number of polynomial terms used by the polynomial estimator. Default to 2.
bw	The adaptive bandwidth used by the polynomial estimator. Default to 10.
kernel	The kernel function used by the polynomial estimator.
verbose	The verbosity level. Default to 0.

Value

A spahetbootres object of permutation-test results with the following items:

vars

The names of variables.

t0

The value of the statistics on original values.

t

The value of the same statistics on permuted values.

p

The p-value for each variable.

Currently, variance is used as the statistics.

hgwrr documentation built on April 4, 2025, 3:57 a.m.