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

> 
> X <- as.matrix(c(0.0, 0.2, 0.5, 0.8, 1.0))
> f <- function(x) 1 - 1 / 2 * (sin(12 * x) / (1 + x) + 2 * cos(7 * x) * x^5 + 0.7)
> y <- f(X)
> 
> #library(rlibkriging)
> k_R <- Kriging(y, X, "gauss")
> 
> print(k_R)
* data: 5x[0,1] -> 5x[0.030241,0.772403]
* trend constant (est.): 0.453087
* variance (est.): 0.0653536
* covariance:
  * kernel: gauss
  * range (est.): 0.02
  * fit:
    * objective: LL
    * optim: BFGS
> 
> x <- as.matrix(seq(0, 1, , 100))
> p <- predict(k_R, x, TRUE, FALSE)
> 
> pdf("rplot.pdf") # plot to file
> plot(f)
> points(X, y)
> 
> 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))
> 
> s <- simulate(k_R,nsim = 10, seed = 123, x=x)
> plot(f)
> points(X,y)
> matplot(x,s,col=rgb(0,0,1,0.2),type='l',lty=1,add=T)
> 
> Xn <- as.matrix(c(0.3,0.4))
> yn <- f(Xn)
> print(k_R)
* data: 5x[0,1] -> 5x[0.030241,0.772403]
* trend constant (est.): 0.453087
* variance (est.): 0.0653536
* covariance:
  * kernel: gauss
  * range (est.): 0.02
  * fit:
    * objective: LL
    * optim: BFGS
> update(k_R, yn, Xn)
> print(k_R)
* data: 7x[0,1] -> 7x[0.030241,1.01542]
* trend constant (est.): 0.50458
* variance (est.): 0.0979075
* covariance:
  * kernel: gauss
  * range (est.): 0.117859
  * fit:
    * objective: LL
    * optim: BFGS
> 
> proc.time()
   user  system elapsed 
   0.40    0.14    0.54