Nothing
library(testthat)
Sys.setenv('OMP_THREAD_LIMIT'=2)
library(rlibkriging)
##library(rlibkriging, lib.loc="bindings/R/Rlibs")
##library(testthat)
context("increment Kriging")
f <- function(X) apply(X, 1,
function(x)
prod(
sin(2*pi*
( x * (seq(0,1,l=1+length(x))[-1])^2 )
)))
n <- 100
d <- 3
set.seed(1234)
X <- matrix(runif(n*d),ncol=d)
y <- f(X)+rnorm(nrow(X),0,0.1)
r = NULL
try( r <- NuggetKriging(y, X, "gauss","constant",FALSE,"none","LL", parameters=list(theta = matrix(.5,ncol=3), beta = matrix(0.01), nugget=0.1^2, sigma2=0.09)) )
no = floor(n*0.7)
try( ro <- NuggetKriging(y[1:no], X[1:no,], "gauss","constant",FALSE,"none","LL", parameters=list(theta = matrix(.5,ncol=3), beta = matrix(0.01), nugget=0.1^2, sigma2=0.09)) )
# update with new points, compute LL but no fit (since optim=none)
ro$update(y[(no+1):n],X[(no+1):n,], refit=TRUE)
test_that(desc="Updated (no refit) Kriging equals Kriging with all data",
expect_equal(ro$T(), r$T(), tol=1e-5))
# m1 = microbenchmark::microbenchmark(
# r <- Kriging(y, X, "gauss","constant",FALSE,"none","LL", parameters=list(theta = matrix(.5,ncol=3), beta = matrix(0.01))),
# times=100
# )
#
# m2 = microbenchmark::microbenchmark(
# {
# ro <- Kriging(y[1:no], X[1:no,], "gauss","constant",FALSE,"none","LL", parameters=list(theta = matrix(.5,ncol=3), beta = matrix(0.01)))
# ro$update(y[(no+1):n], X[(no+1):n,], refit=FALSE)
# },
# times=100
# )
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