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Type 'q()' to quit R. > library(rxode2) rxode2 2.1.0 using 2 threads (see ?getRxThreads) no cache: create with `rxCreateCache()` > library(testthat) > setRxThreads(1L) > library(data.table) > setDTthreads(1L) > ##test_check("rxode2", reporter = testthat::LocationReporter) > test_check("rxode2") using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' udunits database from D:/RCompile/CRANpkg/lib/4.4/units/share/udunits/udunits2.xml using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' ! in order to put confidence bands around the intervals, you need at least 2500 simulations summarizing data...done ! in order to put confidence bands around the intervals, you need at least 2500 simulations summarizing data...done ! in order to put confidence bands around the intervals, you need at least 2500 simulations summarizing data...done ! in order to put confidence bands around the intervals, you need at least 2500 simulations summarizing data...done ! in order to put confidence bands around the intervals, you need at least 2500 simulations summarizing data...done ! in order to put confidence bands around the intervals, you need at least 2500 simulations summarizing data...done using C compiler: 'gcc.exe (GCC) 12.3.0' i parameter labels from comments will be replaced by 'label()' i add covariate `wt_cl` i add covariate `WT` i promote `wt_cl` to population parameter with initial estimate 0.75 i fix `wt_cl` to `0.75` i change initial estimate of `wt_cl` to `0.75` using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' i change initial estimate of `b` to `1` i change initial estimate of `h` to `1` i change initial estimate of `h` to `3` i convert 'lka' from population parameter to between subject variability i convert 'lka' from between subject variability to population parameter i convert 'lka' from between subject variability to population parameter i convert 'lka' from between subject variability to population parameter i convert 'lcl' from population parameter to between subject variability i old initial estimate was negative, changing to positive i convert 'lvc' from population parameter to between subject variability i old initial estimate is zero, changing to 1 i convert 'lvc' from between subject variability to population parameter i convert 'lvc' from population parameter to between subject variability i changing between subject variability parameter 'lka' to covariate parameter i changing between subject variability parameter 'lka' to covariate parameter using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' > significant model change detected > kept in model: '$matt' > removed from model: '$f' > significant model change detected > kept in model: '$matt' > removed from model: '$f' i fix `tka` to `0.451075619360217` i change initial estimate of `tcl` to `77` > significant model change detected > kept in model: '$matt' > removed from model: '$f' > significant model change detected > kept in model: '$matt' > removed from model: '$f' i parameter labels from comments will be replaced by 'label()' using C compiler: 'gcc.exe (GCC) 12.3.0' i parameter labels from comments are typically ignored in non-interactive mode i Need to run with the source intact to parse comments using C compiler: 'gcc.exe (GCC) 12.3.0' using C compiler: 'gcc.exe (GCC) 12.3.0' i promote `tvcl` to population parameter with initial estimate 1 i promote `tvcl` to population parameter with initial estimate 1 i promote `tvcl` to population parameter with initial estimate 1 i ignoring following estimates in 'm1': tka, eta.ka i the labels from the piped model do not overwrite old labels to change use 'options(rxode2.ignoreLabels=FALSE)' i the labels from the piped model do not overwrite old labels to change use 'options(rxode2.ignoreLabels=FALSE)' i ignoring following estimates in 'm4': eta..cl, eta..v i the labels from the piped model do not overwrite old labels to change use 'options(rxode2.ignoreLabels=FALSE)' i ignoring following estimates in 'm1': tka, eta.ka, eta.cl, eta.v i the labels from the piped model do not overwrite old labels to change use 'options(rxode2.ignoreLabels=FALSE)' i ignoring following estimates in 'm5': t.cl, t.v, add..sd i ignoring following estimates in 'm1': tka, tcl, tv, add.sd, eta.ka i piping 'm6' has no parameters in common with model and does nothing i piping 'm1' has no parameters in common with model and does nothing using C compiler: 'gcc.exe (GCC) 12.3.0' i some correlations may have been dropped for the variables: `etab`, `etac`, `etad` i the piping should specify the needed covariances directly i change initial estimate of `etab` to `7` i add covariance between `etac` and `etab` with initial estimate `0.2` i change initial estimate of `etac` to `8` i add covariance between `etad` and `etab` with initial estimate `0.3` i add covariance between `etad` and `etac` with initial estimate `0.4` i change initial estimate of `etad` to `9` i change initial estimate of `etaa` to `0` ! remove population parameter `add.sd` i add population parameter `depot` and set estimate to 1 ! remove population parameter `add.sd` i add population parameter `depot` and set estimate to 1 ! remove population parameter `add.sd` i add population parameter `depot` and set estimate to 1 i promote `temax` to population parameter with initial estimate 1 i promote `te0` to population parameter with initial estimate 1 i promote `eta.e0` to between subject variability with initial estimate 1 i promote `tec50` to population parameter with initial estimate 1 i promote `tkin` to population parameter with initial estimate 1 i promote `tkout` to population parameter with initial estimate 1 i promote `temax` to population parameter with initial estimate 1 i promote `te0` to population parameter with initial estimate 1 i promote `eta.e0` to between subject variability with initial estimate 1 i promote `tec50` to population parameter with initial estimate 1 i promote `tkin` to population parameter with initial estimate 1 i promote `tkout` to population parameter with initial estimate 1 i promote `temax` to population parameter with initial estimate 1 i promote `te0` to population parameter with initial estimate 1 i promote `eta.e0` to between subject variability with initial estimate 1 i promote `tec50` to population parameter with initial estimate 1 i promote `tkin` to population parameter with initial estimate 1 i promote `tkout` to population parameter with initial estimate 1 [ FAIL 0 | WARN 0 | SKIP 2 | PASS 1259 ] ══ Skipped tests (2) ═══════════════════════════════════════════════════════════ • On Windows (1): 'test-zzzzz.R:1:1' • file.exists(fileCbindStudyIndividual) is not TRUE (1): 'test-cbind-study-individual.R:40:3' [ FAIL 0 | WARN 0 | SKIP 2 | PASS 1259 ] > > ## test_check("rxode2", > ## stop_on_failure = FALSE, > ## reporter = testthat::LocationReporter > ## ) > > proc.time() user system elapsed 58.10 5.82 105.45