* using log directory ‘/data/gannet/ripley/R/packages/tests-Intel/PAGFL.Rcheck’ * using R Under development (unstable) (2024-06-24 r86824) * using platform: x86_64-pc-linux-gnu * R was compiled by Intel(R) oneAPI DPC++/C++ Compiler 2024.2.0 (2024.2.0.20240602) ifx (IFX) 2024.2.0 20240602 * running under: Fedora Linux 36 (Workstation Edition) * using session charset: UTF-8 * using option ‘--no-stop-on-test-error’ * checking for file ‘PAGFL/DESCRIPTION’ ... OK * this is package ‘PAGFL’ version ‘1.1.0’ * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package ‘PAGFL’ can be installed ... [85s/430s] WARNING Found the following significant warnings: /usr/lib/gcc/x86_64-redhat-linux/12/../../../../include/c++/12/bits/stl_tempbuf.h:263:8: warning: 'get_temporary_buffer>' is deprecated [-Wdeprecated-declarations] /usr/lib/gcc/x86_64-redhat-linux/12/../../../../include/c++/12/bits/stl_tempbuf.h:263:8: warning: 'get_temporary_buffer>' is deprecated [-Wdeprecated-declarations] See ‘/data/gannet/ripley/R/packages/tests-Intel/PAGFL.Rcheck/00install.out’ for details. * used C++ compiler: ‘Intel(R) oneAPI DPC++/C++ Compiler 2024.2.0 (2024.2.0.20240602)’ * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking use of S3 registration ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [12s/41s] OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd line widths ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking use of SHLIB_OPENMP_*FLAGS in Makefiles ... OK * checking pragmas in C/C++ headers and code ... OK * checking compilation flags used ... OK * checking compiled code ... OK * checking examples ... [5s/22s] ERROR Running examples in ‘PAGFL-Ex.R’ failed The error most likely occurred in: > ### Name: tv_pagfl > ### Title: Time-varying Pairwise Adaptive Group Fused Lasso > ### Aliases: tv_pagfl summary.tvpagfl formula.tvpagfl df.residual.tvpagfl > ### print.tvpagfl coef.tvpagfl residuals.tvpagfl fitted.tvpagfl > > ### ** Examples > > # Simulate a time-varying panel with a trend and a group pattern > set.seed(1) > sim <- sim_tv_DGP(N = 5, n_periods = 20, intercept = TRUE, p = 1) > df <- data.frame(y = c(sim$y)) > > # Run the time-varying PAGFL with only an intercept > estim <- tv_pagfl(y ~ 1, data = df, n_periods = 20, lambda = 13, max_iter = 100, parallel = FALSE) > summary(estim) Call: tv_pagfl(formula = y ~ 1, data = df, n_periods = 20, lambda = 13, max_iter = 100, parallel = FALSE) Balanced panel: N = 5, T = 20, obs = 100 Convergence reached: FALSE (100 iterations) Information criterion: IC lambda 1.20728 13.00000 Residuals: Min 1Q Median 3Q Max -2.16183 -0.49703 0.05303 0.53361 2.29482 3 groups: 1 2 3 4 5 1 1 2 3 3 Residual standard error: 0.89675 on 90 degrees of freedom Mean squared error 0.72374 Multiple R-squared: 0.81279, Adjusted R-squared: 0.79407 > > > > > ### *