fit.WarpKriging: Fit a WarpKriging model to data

In rlibkriging: Kriging Models using the 'libKriging' Library

Fit a WarpKriging model to data

Description

(Re-)fit an already-constructed WarpKriging object on new data. The warping specification and kernel are kept from construction.

Usage

## S3 method for class 'WarpKriging'
fit(
  object,
  y,
  X,
  regmodel = "constant",
  normalize = FALSE,
  optim = "BFGS+Adam",
  objective = "LL",
  parameters = NULL,
  noise = NULL,
  ...
)

Arguments

object	WarpKriging object (created with the constructor or an empty-kernel call)
y	numeric vector of observations (n)
X	numeric matrix of inputs (n x d)
regmodel	trend: "constant", "linear", "quadratic"
normalize	logical; normalise continuous inputs?
optim	optimiser
objective	"LL" (log-likelihood)
parameters	optional named list of tuning parameters
noise	Either a numeric vector of per-observation noise variances, or "nugget" to estimate a homogeneous nugget, or NULL (default) for noise-free interpolation.
...	ignored

Value

No return value. WarpKriging object argument is modified.

rlibkriging documentation built on May 14, 2026, 1:06 a.m.