CRAN Package Check Results for Package kergp

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

Check Details

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