dot-prime: Transform the input parameters
In mhuiying/scp: Spatial Conformal Prediction

.prime

R Documentation

Transform the input parameters

An internal function to transform the input parameters

.prime(s0, s, Y, global, eta, m, dfun)

`s0`	prediction location, a numeric vector with `length = 2`, or a `matrix` with 1 row and 2 cols, or a data.frame with 1 row and 2 cordinates.
`s`	an n x 2 `matrix` or `data.frame` with two coordinates of n locations.
`Y`	a vector with n values corresponding to `Y(s)`.
`global`	logical; if `TRUE` , `scp` function returns the result of global spatial conformal prediction (GSCP); if `FALSE`, `scp` function returns the result of local spatial conformal prediction (LSCP) and users need to specify `eta`. Defaults to `TRUE`.
`eta`	kernel bandwidth for weight schema, a positve scalar with smaller value meaning more localized procedure. Defauls to `Inf`, which puts equal weight on surrounding m points.
`m`	an postive integer representing the number of nearest locations to use for prediction. Default depands on `eta`.
`dfun`	non-conformity measure with four options. In which, `"residual2"` (default) represents squared residual, `"std_residual2"` represents standardized squared residual, `"abs_residual"` represents absolute residual, and `"std_abs_residual"` represents standardized absolute residual.