CRAN Package Check Results for Package sharp

Last updated on 2025-07-17 20:50:27 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.4.7 12.37 117.79 130.16 OK
r-devel-linux-x86_64-debian-gcc 1.4.7 6.95 81.31 88.26 ERROR
r-devel-linux-x86_64-fedora-clang 1.4.7 204.71 ERROR
r-devel-linux-x86_64-fedora-gcc 1.4.7 190.29 ERROR
r-devel-windows-x86_64 1.4.7 14.00 153.00 167.00 OK
r-patched-linux-x86_64 1.4.7 14.87 110.24 125.11 OK
r-release-linux-x86_64 1.4.7 10.73 109.79 120.52 OK
r-release-macos-arm64 1.4.7 59.00 OK
r-release-macos-x86_64 1.4.7 131.00 OK
r-release-windows-x86_64 1.4.7 14.00 154.00 168.00 OK
r-oldrel-macos-arm64 1.4.7 67.00 NOTE
r-oldrel-macos-x86_64 1.4.7 139.00 NOTE
r-oldrel-windows-x86_64 1.4.7 18.00 244.00 262.00 NOTE

Check Details

Version: 1.4.7
Check: examples
Result: ERROR Running examples in ‘sharp-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: SelectionAlgo > ### Title: Variable selection algorithm > ### Aliases: SelectionAlgo > > ### ** Examples > > # Data simulation (univariate outcome) > set.seed(1) > simul <- SimulateRegression(pk = 50) > > # Running the LASSO > mylasso <- SelectionAlgo( + xdata = simul$xdata, ydata = simul$ydata, + Lambda = c(0.1, 0.2), family = "gaussian", + ) > > # Data simulation (multivariate outcome) > set.seed(1) > simul <- SimulateRegression(pk = 50, q = 3) > > # Running multivariate Gaussian LASSO > mylasso <- SelectionAlgo( + xdata = simul$xdata, ydata = simul$ydata, + Lambda = c(0.1, 0.2), family = "mgaussian" + ) Error in `[<-`(`*tmp*`, rownames(tmpbeta), colnames(tmpbeta), y_id, value = tmpbeta) : subscript out of bounds Calls: SelectionAlgo -> do.call -> <Anonymous> Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed PredictPLS 5.178 0.111 5.731 Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.4.7
Check: examples
Result: ERROR Running examples in ‘sharp-Ex.R’ failed The error most likely occurred in: > ### Name: SelectionAlgo > ### Title: Variable selection algorithm > ### Aliases: SelectionAlgo > > ### ** Examples > > # Data simulation (univariate outcome) > set.seed(1) > simul <- SimulateRegression(pk = 50) > > # Running the LASSO > mylasso <- SelectionAlgo( + xdata = simul$xdata, ydata = simul$ydata, + Lambda = c(0.1, 0.2), family = "gaussian", + ) > > # Data simulation (multivariate outcome) > set.seed(1) > simul <- SimulateRegression(pk = 50, q = 3) > > # Running multivariate Gaussian LASSO > mylasso <- SelectionAlgo( + xdata = simul$xdata, ydata = simul$ydata, + Lambda = c(0.1, 0.2), family = "mgaussian" + ) Error in `[<-`(`*tmp*`, rownames(tmpbeta), colnames(tmpbeta), y_id, value = tmpbeta) : subscript out of bounds Calls: SelectionAlgo -> do.call -> <Anonymous> Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 1.4.7
Check: package dependencies
Result: NOTE Package suggested but not available for checking: ‘rCOSA’ Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Version: 1.4.7
Check: Rd cross-references
Result: NOTE Package unavailable to check Rd xrefs: ‘rCOSA’ Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64