Last updated on 2026-09-11 23:50:00 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.3.0 | 27.76 | 181.81 | 209.57 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.3.1 | 18.45 | 144.42 | 162.87 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.3.1 | 18.00 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 0.3.1 | 17.00 | 136.33 | 153.33 | ERROR | |
| r-devel-windows-x86_64 | 0.3.1 | 28.00 | 201.00 | 229.00 | OK | |
| r-patched-linux-x86_64 | 0.3.0 | 25.79 | 173.53 | 199.32 | OK | |
| r-release-linux-x86_64 | 0.3.0 | 23.81 | 172.03 | 195.84 | OK | |
| r-release-macos-arm64 | 0.3.0 | 6.00 | 43.00 | 49.00 | OK | |
| r-release-macos-x86_64 | 0.3.1 | 18.00 | 187.00 | 205.00 | OK | |
| r-release-windows-x86_64 | 0.3.0 | 26.00 | 181.00 | 207.00 | OK | |
| r-oldrel-macos-arm64 | 0.3.1 | 6.00 | 49.00 | 55.00 | OK | |
| r-oldrel-macos-x86_64 | 0.3.1 | 18.00 | 166.00 | 184.00 | OK | |
| r-oldrel-windows-x86_64 | 0.3.0 | 35.00 | 238.00 | 273.00 | OK |
Version: 0.3.1
Check: examples
Result: ERROR
Running examples in ‘BayesNSGP-Ex.R’ failed
The error most likely occurred in:
> ### Name: nsgpModel
> ### Title: NIMBLE code for a generic nonstationary GP model
> ### Aliases: nsgpModel
>
> ### ** Examples
>
> # Generate some data: stationary/isotropic
> N <- 100
> coords <- matrix(runif(2*N), ncol = 2)
> alpha_vec <- rep(log(sqrt(1)), N) # Log process SD
> delta_vec <- rep(log(sqrt(0.05)), N) # Log nugget SD
> Sigma11_vec <- rep(0.4, N) # Kernel matrix element 1,1
> Sigma22_vec <- rep(0.4, N) # Kernel matrix element 2,2
> Sigma12_vec <- rep(0, N) # Kernel matrix element 1,2
> mu_vec <- rep(0, N) # Mean
> nu <- 0.5 # Smoothness
> dist_list <- nsDist(coords)
> Cor_mat <- nsCorr( dist1_sq = dist_list$dist1_sq, dist2_sq = dist_list$dist2_sq,
+ dist12 = dist_list$dist12, Sigma11 = Sigma11_vec,
+ Sigma22 = Sigma22_vec, Sigma12 = Sigma12_vec, nu = nu )
> Cov_mat <- diag(exp(alpha_vec)) %*% Cor_mat %*% diag(exp(alpha_vec))
> D_mat <- diag(exp(delta_vec)^2)
> set.seed(110)
> data <- as.numeric(mu_vec + t(chol(Cov_mat + D_mat)) %*% rnorm(N))
> # Set up constants
> constants <- list( nu = 0.5, Sigma_HP1 = 2 )
> # Defaults: tau_model = "constant", sigma_model = "constant", mu_model = "constant",
> # and Sigma_model = "constant"
> Rmodel <- nsgpModel(likelihood = "fullGP", constants = constants, coords = coords, data = data )
Error in initRefFields(.self, .refClassDef, as.environment(.self), list(...)) :
could not find function "initRefFields"
Calls: nsgpModel ... initialize -> initialize -> <Anonymous> -> callSuper
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc