CRAN Package Check Results for Package sparseGAM

Last updated on 2024-09-07 15:49:12 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0 5.47 59.98 65.45 ERROR
r-devel-linux-x86_64-debian-gcc 1.0 5.31 42.91 48.22 ERROR
r-devel-linux-x86_64-fedora-clang 1.0 108.84 ERROR
r-devel-linux-x86_64-fedora-gcc 1.0 107.53 ERROR
r-devel-windows-x86_64 1.0 8.00 71.00 79.00 ERROR
r-patched-linux-x86_64 1.0 6.53 55.98 62.51 ERROR
r-release-linux-x86_64 1.0 7.84 56.17 64.01 ERROR
r-release-macos-arm64 1.0 41.00 OK
r-release-macos-x86_64 1.0 67.00 OK
r-release-windows-x86_64 1.0 9.00 71.00 80.00 ERROR
r-oldrel-macos-arm64 1.0 46.00 OK
r-oldrel-macos-x86_64 1.0 74.00 OK
r-oldrel-windows-x86_64 1.0 7.00 83.00 90.00 ERROR

Additional issues

M1mac

Check Details

Version: 1.0
Check: examples
Result: ERROR Running examples in ‘sparseGAM-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: SBGAM > ### Title: Sparse Bayesian Generalized Additive Models > ### Aliases: SBGAM > > ### ** Examples > > ## Generate data > set.seed(12345) > X = matrix(runif(100*5), nrow=100) > n = dim(X)[1] > y = 3*sin(2*pi*X[,1])-3*cos(2*pi*X[,2]) + rnorm(n) > > ## Test data with 30 observations > X.test = matrix(runif(30*5), nrow=30) > > ## Fit sparse Bayesian generalized additive model to data with the SSGL penalty > ## and 5 spike hyperparameters > SBGAM.mod = SBGAM(y, X, X.test, family="gaussian", lambda0=seq(from=50,to=10,by=-10)) lambda0 = 50 Error in loss[l] <- EM_output$loss : replacement has length zero Calls: SBGAM -> SSGL Execution halted Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 1.0
Check: examples
Result: ERROR Running examples in ‘sparseGAM-Ex.R’ failed The error most likely occurred in: > ### Name: SBGAM > ### Title: Sparse Bayesian Generalized Additive Models > ### Aliases: SBGAM > > ### ** Examples > > ## Generate data > set.seed(12345) > X = matrix(runif(100*5), nrow=100) > n = dim(X)[1] > y = 3*sin(2*pi*X[,1])-3*cos(2*pi*X[,2]) + rnorm(n) > > ## Test data with 30 observations > X.test = matrix(runif(30*5), nrow=30) > > ## Fit sparse Bayesian generalized additive model to data with the SSGL penalty > ## and 5 spike hyperparameters > SBGAM.mod = SBGAM(y, X, X.test, family="gaussian", lambda0=seq(from=50,to=10,by=-10)) lambda0 = 50 Error in loss[l] <- EM_output$loss : replacement has length zero Calls: SBGAM -> SSGL Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64