• using R Under development (unstable) (2026-05-15 r90061)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     Debian clang version 22.1.5 (1)     Debian flang version 22.1.5 (1)
• running under: Debian GNU/Linux forky/sid
• using session charset: UTF-8 * current time: 2026-05-18 15:24:20 UTC
• checking for file ‘DiceView/DESCRIPTION’ ... OK
• this is package ‘DiceView’ version ‘3.1-3’
• package encoding: UTF-8
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• checking examples ... [2s/2s] ERROR Running examples in ‘DiceView-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: contourview.function > ### Title: Plot a contour view of a prediction model or function, including > ### design points if available. > ### Aliases: contourview.function contourview,function,function-method > ### contourview.matrix contourview,matrix,matrix-method > ### contourview.character contourview,character,character-method > ### contourview.km contourview,km,km-method contourview.Kriging > ### contourview,Kriging,Kriging-method contourview.NuggetKriging > ### contourview,NuggetKriging,NuggetKriging-method > ### contourview.NoiseKriging contourview,NoiseKriging,NoiseKriging-method > ### contourview.glm contourview,glm,glm-method contourview.list > ### contourview,list,list-method contourview > > ### ** Examples > > x1 <- rnorm(15) > x2 <- rnorm(15) > > y <- x1 + x2 + rnorm(15) > model <- lm(y ~ x1 + x2) > > contourview(function(x) sum(x), + Xlim=cbind(range(x1),range(x2)), col='black') > points(x1,x2) > > contourview(function(x) { + x = as.data.frame(x) + colnames(x) <- all.vars(model$call)[-1] + predict.lm(model, newdata=x, se.fit=FALSE) + }, vectorized=TRUE, add=TRUE) > > X = matrix(runif(15*2),ncol=2) > y = apply(X,1,branin) > > contourview(X, y) > > x1 <- rnorm(15) > x2 <- rnorm(15) > > y <- x1 + x2^2 + rnorm(15) > model <- glm(y ~ x1 + I(x2^2)) > > contourview(model) > > contourview("abline(h=0.25,col='red')") Warning in getView(2, TRUE, NA, NA, NA, axis, mfrow) :   Xlim ignored when add=TRUE, replaced by: -1.80495862889104,2.40161776050478,-1.52356680042976,1.1780869965732 > if (requireNamespace("DiceKriging")) { library(DiceKriging) + + X = matrix(runif(15*2),ncol=2) + y = apply(X,1,branin) + + model <- km(design = X, response = y, covtype="matern3_2") + + contourview(model) + + } Loading required namespace: DiceKriging Attaching package: ‘DiceKriging’ The following object is masked from ‘package:DiceView’:     branin optimisation start ------------------ * estimation method : MLE * optimisation method : BFGS * analytical gradient : used * trend model : ~1 * covariance model :   - type : matern3_2   - nugget : NO   - parameters lower bounds : 1e-10 1e-10   - parameters upper bounds : 1.722538 1.615081   - best initial criterion value(s) : -66.36114 N = 2, M = 5 machine precision = 2.22045e-16 At X0, 0 variables are exactly at the bounds At iterate 0 f= 66.361 |proj g|= 0.68261 At iterate 1 f = 66.307 |proj g|= 0.46706 At iterate 2 f = 66.294 |proj g|= 0.083768 At iterate 3 f = 66.294 |proj g|= 0.016745 At iterate 4 f = 66.294 |proj g|= 0.00062148 At iterate 5 f = 66.294 |proj g|= 5.6081e-05 iterations 5 function evaluations 9 segments explored during Cauchy searches 6 BFGS updates skipped 0 active bounds at final generalized Cauchy point 0 norm of the final projected gradient 5.6081e-05 final function value 66.2936 F = 66.2936 final value 66.293568 converged > > if (requireNamespace("rlibkriging")) { library(rlibkriging) + + X = matrix(runif(15*2),ncol=2) + y = apply(X,1,branin) + + model <- Kriging(X = X, y = y, kernel="matern3_2") + + contourview(model) + + } Loading required namespace: rlibkriging Attaching package: ‘rlibkriging’ The following object is masked from ‘package:DiceKriging’:     leaveOneOutFun The following object is masked from ‘package:stats’:     kernel The following objects are masked from ‘package:base’:     beta, load, save > > if (requireNamespace("rlibkriging")) { library(rlibkriging) + + X = matrix(runif(15*2),ncol=2) + y = apply(X,1,branin) + 5*rnorm(15) + + model <- NuggetKriging(X = X, y = y, kernel="matern3_2") + + contourview(model) + + } Error in NuggetKriging(X = X, y = y, kernel = "matern3_2") :   could not find function "NuggetKriging" Execution halted
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• DONE

Status: 1 ERROR