update.Kriging: Update a 'Kriging' model object with new points

In rlibkriging: Kriging Models using the 'libKriging' Library

Update a Kriging model object with new points

Description

Update a Kriging model object with new points

Usage

## S3 method for class 'Kriging'
update(object, y_u, ..., X_u = NULL, noise_u = NULL, refit = TRUE)

Arguments

object	S3 Kriging object.
y_u	Numeric vector of new responses (output).
...	Ignored.
X_u	Numeric matrix of new input points.
noise_u	Optional numeric vector of observation noise variances attached to y_u.
refit	Logical. If TRUE the model is refitted (default is TRUE).

Value

No return value. Kriging object argument is modified.

Caution

The method does not return the updated object, but instead changes the content of object. This behaviour is quite unusual in R and differs from the behaviour of update.km in DiceKriging and the update method for class KM.

Author(s)

Yann Richet [e-mail]

Examples

f <- function(x) 1- 1 / 2 * (sin(12 * x) / (1 + x) + 2 * cos(7 * x)*x^5 + 0.7)
plot(f)
set.seed(123)
X <- as.matrix(runif(10))
y <- f(X)
points(X, y, col = "blue")

k <- Kriging(y, X, "matern3_2")

x <- seq(from = 0, to = 1, length.out = 101)
p <- predict(k, x)
lines(x, p$mean, col = "blue")
polygon(c(x, rev(x)), c(p$mean - 2 * p$stdev, rev(p$mean + 2 * p$stdev)),
 border = NA, col = rgb(0, 0, 1, 0.2))

X_u <- as.matrix(runif(3))
y_u <- f(X_u)
points(X_u, y_u, col = "red")

## change the content of the object 'k'
update(k, y_u, X_u)

## include design points to see interpolation
x <- sort(c(X,X_u,seq(from = 0, to = 1, length.out = 101)))
p2 <- predict(k, x)
lines(x, p2$mean, col = "red")
polygon(c(x, rev(x)), c(p2$mean - 2 * p2$stdev, rev(p2$mean + 2 * p2$stdev)),
 border = NA, col = rgb(1, 0, 0, 0.2))

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