Last updated on 2025-02-18 00:50:29 CET.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 0.5.8 | 14.82 | 91.65 | 106.47 | OK | |
r-devel-linux-x86_64-debian-gcc | 0.5.8 | 13.21 | 62.07 | 75.28 | OK | |
r-devel-linux-x86_64-fedora-clang | 0.5.8 | 182.17 | ERROR | |||
r-devel-linux-x86_64-fedora-gcc | 0.5.8 | 162.89 | ERROR | |||
r-devel-macos-arm64 | 0.5.8 | 50.00 | OK | |||
r-devel-macos-x86_64 | 0.5.8 | 106.00 | OK | |||
r-devel-windows-x86_64 | 0.5.8 | 25.00 | 132.00 | 157.00 | OK | |
r-patched-linux-x86_64 | 0.5.8 | 18.13 | 77.37 | 95.50 | OK | |
r-release-linux-x86_64 | 0.5.8 | 14.99 | 86.76 | 101.75 | OK | |
r-release-macos-arm64 | 0.5.8 | 51.00 | OK | |||
r-release-macos-x86_64 | 0.5.8 | 90.00 | OK | |||
r-release-windows-x86_64 | 0.5.8 | 26.00 | 122.00 | 148.00 | OK | |
r-oldrel-macos-arm64 | 0.5.8 | 53.00 | OK | |||
r-oldrel-macos-x86_64 | 0.5.8 | 96.00 | OK | |||
r-oldrel-windows-x86_64 | 0.5.8 | 30.00 | 140.00 | 170.00 | OK |
Version: 0.5.8
Check: examples
Result: ERROR
Running examples in ‘kergp-Ex.R’ failed
The error most likely occurred in:
> ### Name: gp
> ### Title: Gaussian Process Model
> ### Aliases: gp
>
> ### ** Examples
>
> ## ==================================================================
> ## Example 1. Data sampled from a GP model with a known covTS object
> ## ==================================================================
> set.seed(1234)
> myCov <- covTS(inputs = c("Temp", "Humid"),
+ kernel = "k1Matern5_2",
+ dep = c(range = "input"),
+ value = c(range = 0.4))
> ## change coefficients (variances)
> coef(myCov) <- c(0.5, 0.8, 2, 16)
> d <- myCov@d; n <- 20
> ## design matrix
> X <- matrix(runif(n*d), nrow = n, ncol = d)
> colnames(X) <- inputNames(myCov)
> ## generate the GP realization
> myGp <- gp(formula = y ~ 1, data = data.frame(y = rep(0, n), X),
+ cov = myCov, estim = FALSE,
+ beta = 10, varNoise = 0.05)
> y <- simulate(myGp, cond = FALSE)$sim
Loading required package: MASS
>
> ## parIni: add noise to true parameters
> parCovIni <- coef(myCov)
> parCovIni[] <- 0.9 * parCovIni[] + 0.1 * runif(length(parCovIni))
> coefLower(myCov) <- rep(1e-2, 4)
> coefUpper(myCov) <- c(5, 5, 20, 20)
> est <- gp(y ~ 1, data = data.frame(y = y, X),
+ cov = myCov,
+ noise = TRUE,
+ varNoiseLower = 1e-2,
+ varNoiseIni = 1.0,
+ parCovIni = parCovIni)
Warning in nloptr.add.default.options(opts.user = opts, x0 = x0, num_constraints_ineq = num_constraints_ineq, :
No termination criterion specified, using default(relative x-tolerance = 1e-04)
Error in fitList[[bestIndex]] :
attempt to select less than one element in get1index
Error in gp(y ~ 1, data = data.frame(y = y, X), cov = myCov, noise = TRUE, :
Maximum Likelihood error
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc