Create an instance of MGWRConfig

Usage

mgwr_config(
  bw = NA_real_,
  adaptive = FALSE,
  kernel = c("gaussian", "exp", "bisquare", "tricube", "boxcar"),
  longlat = FALSE,
  p = 2,
  theta = 0,
  centered = TRUE,
  optim_bw = c("AIC", "CV", "no"),
  optim_threshold = 1e-05
)

Arguments

bw: Bandwidth value.
adaptive: Whether the bandwidth value is adaptive or not.
kernel: Kernel function used.
longlat: Whether the coordinates.
p: Power of the Minkowski distance, default to 2, i.e., Euclidean distance.
theta: Angle in radian to roate the coordinate system, default to 0.
centered: A logical vector of length equalling to the number of predictors, and note intercept is not included; if the element is TRUE, the corresponding predictor will be centered.
optim_bw: Whether optimize bandwidth after selecting models. Avaliable values are no, AIC, and CV. If no is specified, the bandwidth specified by argument bw is used in calibrating selected models.
optim_threshold: Threshold of bandwidth optimization.

Examples

mgwr_config(36, TRUE, "bisquare", optim_bw = "AIC")
#> An object of class "MGWRConfig"
#> Slot "bw":
#> [1] 36
#> 
#> Slot "adaptive":
#> [1] TRUE
#> 
#> Slot "kernel":
#> [1] "bisquare"
#> 
#> Slot "longlat":
#> [1] FALSE
#> 
#> Slot "p":
#> [1] 2
#> 
#> Slot "theta":
#> [1] 0
#> 
#> Slot "centered":
#> [1] TRUE
#> 
#> Slot "optim_bw":
#> [1] "AIC"
#> 
#> Slot "optim_threshold":
#> [1] 1e-05
#>