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Kriging object.Given "new" input points, the method compute the expectation, variance and (optionnally) the covariance of the corresponding stochastic process, conditional on the values at the input points used when fitting the model.
# S3 method for Kriging
predict(
object,
x,
return_stdev = TRUE,
return_cov = FALSE,
return_deriv = FALSE,
...
)A list containing the element mean and possibly
stdev and cov.
S3 Kriging object.
Input points where the prediction must be computed.
Logical. If TRUE the standard deviation
is returned.
Logical. If TRUE the covariance matrix of
the predictions is returned.
Logical. If TRUE the derivatives of mean and sd
of the predictions are returned.
Ignored.
Yann Richet yann.richet@irsn.fr
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", pch = 16)
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))
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