R version 4.4.0 alpha (2024-03-26 r86209 ucrt) 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. > ### nlmer() convergence testing / monitoring / ... > ## ------------------- > > ### The output of tests here are *not* 'diff'ed (<==> no *.Rout.save file) > library(lme4) Loading required package: Matrix > > ## 'Theoph' Data modeling > > if (lme4:::testLevel() > 1) { + Th.start <- c(lKe=-2.5, lKa=0.5, lCl=-3) + + (nm2 <- nlmer(conc ~ SSfol(Dose, Time,lKe, lKa, lCl) ~ lKe + lKa + lCl|Subject, + Theoph, start = Th.start)) + (nm3 <- nlmer(conc ~ SSfol(Dose, Time,lKe, lKa, lCl) ~ (lKe|Subject) + + (lKa|Subject) + (lCl|Subject), + Theoph, start = Th.start)) + ## dropping lKe from random effects: + (nm4 <- nlmer(conc ~ SSfol(Dose, Time,lKe, lKa, lCl) ~ lKa + lCl|Subject, + Theoph, start = Th.start, + control = nlmerControl(tolPwrss=1e-8))) + (nm5 <- nlmer(conc ~ SSfol(Dose, Time,lKe, lKa, lCl) ~ (lKa|Subject) + (lCl|Subject), + Theoph, start = Th.start)) + } > > proc.time() user system elapsed 1.53 0.23 1.70