R Under development (unstable) (2024-09-15 r87152 ucrt) -- "Unsuffered Consequences"
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> library(testthat)
>  Sys.setenv('OMP_THREAD_LIMIT'=2)
>  library(rlibkriging)

Attaching package: 'rlibkriging'

The following objects are masked from 'package:base':

    load, save

> 
> ##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)
> r = NULL
> try( r <- Kriging(y, X, "gauss","constant",FALSE,"none","LL", parameters=list(theta = matrix(.5,ncol=3), sigma2 = 0.1, beta = matrix(0.01))) )
> 
> no = floor(n*0.7)
> try( ro <- Kriging(y[1:no], X[1:no,], "gauss","constant",FALSE,"none","LL", parameters=list(theta = matrix(.5,ncol=3), sigma2 = 0.1, beta = matrix(0.01))) )
> # update with new points, compute LL but no fit (since optim=none)
> ro$update(y[(no+1):n], X[(no+1):n,], refit=FALSE)
> 
> test_that(desc="Updated (no refit) Kriging equals Kriging with all data",
+           expect_equal(ro$T(), r$T(), tol=1e-4))
Test passed 🎊
> 
> # m1 = microbenchmark::microbenchmark(
> #   r <- Kriging(y, X, "gauss","constant",FALSE,"none","LL", parameters=list(theta = matrix(.5,ncol=3), sigma2 = 0.1, beta = matrix(0.01))),
> #   times=100
> # )
> # 
> # m2 = microbenchmark::microbenchmark(
> #   {
> #     ro <- Kriging(y[1:no], X[1:no,], "gauss","constant",FALSE,"none","LL", parameters=list(theta = matrix(.5,ncol=3), sigma2 = 0.1, beta = matrix(0.01)))
> #     ro$update(y[(no+1):n], X[(no+1):n,], refit=FALSE)
> #   },
> #   times=100
> # )
> 
> proc.time()
   user  system elapsed 
   0.92    0.10    0.96