R Under development (unstable) (2024-01-14 r85805 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(RESI) > > test_check("RESI") Loading required package: carData Loading required namespace: splines Loading required namespace: survival Loading required namespace: pscl Loading required namespace: gee Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27 running glm to get initial regression estimate (Intercept) diagnosesevere drugstandard time -0.08759224 -1.31391092 0.05960381 1.49985707 drugstandard:time -1.01744498 Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27 running glm to get initial regression estimate (Intercept) 0.0902573 Loading required namespace: geepack Loading required namespace: lme4 boundary (singular) fit: see help('isSingular') Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27 running glm to get initial regression estimate (Intercept) diagnosesevere drugstandard time -0.08759224 -1.31391092 0.05960381 1.49985707 drugstandard:time -1.01744498 Updating model fit failed. Try running with providing data argument Updating model fit failed. Try running with providing data argument [ FAIL 0 | WARN 0 | SKIP 0 | PASS 80 ] > > proc.time() user system elapsed 151.89 7.06 158.93