Do both of your R installations use the same version of lme4 ? A new lme4 version has been published on CRAN yesterday and some changes regarding default numerical tolerances in optimizations could explain the difference in your results. See the NEWS here: https://cran.r-project.org/web/packages/lme4/news.html
Best regards, Sebastian Meyer Am 08.04.20 um 13:43 schrieb Helmut Schütz: > Dear all, > > I was notified about errors: > https://cran.r-project.org/web/checks/check_results_replicateBE.html > > Since I don't have access to those operating systems, I'm a little bit > lost. > Here is what I get with 64bit R on Windows: > library(replicateBE) > x <- method.B(details = TRUE, print = FALSE, > data = rds30, option = 1)[c(10, 19)] > y <- c(17.86418, 92.73371) > d <- as.numeric(signif(abs(x - y), 7)) > > With R 3.6.2 > print(d) > [1] 4.431372e-06 1.182994e-07 > > With R 3.6.3 > print(d) > [1] 1.078696e-05 1.182989e-07 > > x[10] are Satterthwaite's degrees of freedom obtained by package > pbkrtest. In both R-versions I use its current version (0.4-8.6 of > 2020-02-20). > > Any ideas / suggestions? > As a workaround I could reduce the tolerance of testthat's > expect_quivalent() from to currently 5e-7 to a higher (_which one?_) > value. But I still want to know what might be going on the CRAN's > linux/solaris devel/patched installations since the other R-versions on > all operating systems passed the tests. > > Cheers, > Helmut > ______________________________________________ R-package-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-package-devel