Fit an unpenalized geographically weighted regression

Usage

gwr_fit(
  x,
  y,
  coords = NULL,
  neighbors = NULL,
  k = NULL,
  kernel = c("bisquare", "gaussian", "exponential", "tricube", "boxcar"),
  bandwidth = NULL,
  standardize = TRUE,
  control = gwrs_control()
)

Arguments

x: Numeric design matrix without an intercept.
y: Numeric response vector.
coords: Optional coordinate matrix used to construct neighbors.
neighbors: Optional reusable object from [gwr_neighbors()].
k: Number of neighbors when `neighbors` is not supplied.
kernel: Spatial kernel.
bandwidth: Fixed distance bandwidth. The default `NULL` uses the farthest retained neighbor as an adaptive bandwidth at each target.
standardize: Whether predictors are standardized globally before the local fits. Coefficients are returned on the original scale.
control: Numerical controls from [gwrs_control()].

Value

An object of class `gwrs_fit`.

Examples

quake <- datasets::quakes[1:32, ]
coords <- as.matrix(quake[, c("long", "lat")])
x <- as.matrix(quake[, c("depth", "stations")])
fit <- gwr_fit(
  x, quake$mag, coords = coords, k = 20,
  control = gwrs_control(n_threads = 1)
)
summary(fit)