Output table/data.frame options
tableControl(
npde = NULL,
cwres = NULL,
saemNPDE = FALSE,
saemCWRES = FALSE,
nlmeNPDE = FALSE,
nlmeCWRES = FALSE,
foceiNPDE = FALSE,
foceNPDE = FALSE,
nsim = 300,
ties = TRUE,
seed = 1009
)When TRUE, request npde regardless of the algorithm used.
When TRUE, request CWRES and FOCEi likelihood regardless of the algorithm used.
When TRUE and estimating with SAEM, adds NPDE metrics to fit including EPRED, ERES, and NPDE. (default TRUE);
When TRUE and estimating with SAEM, adds CWRES metrics to the fit including CPRED, CRES and CWRES. It also evaluates the function with the FOCEi objective function to allow comparison between estimation methods. (default FALSE)
When TRUE and estimating with nlme, adds NPDE metrics to fit including EPRED, ERES, and NPDE. (default TRUE);
When TRUE and estimating with nlme, adds CWRES metrics to the fit including CPRED, CRES and CWRES. It also evaluates the function with the FOCEi objective function to allow comparison between estimation methods. (default FALSE)
When TRUE and estimating with FOCEi, adds NPDE metrics to fit including EPRED, ERES, and NPDE. (default TRUE);
When TRUE and estimating with FOCEi, adds NPDE metrics to fit including EPRED, ERES, and NPDE. (default TRUE);
Number of simulations. By default this is 300
When TRUE, the npde distribution can have ties. When FALSE, the npde distribution uses uniform random numbers to prevent ties.
Seed for running nlmixr simulation. By default 1009
A list of table options for nlmixr
If you ever want to add CWRES/FOCEi objective function you can use the addCwres
If you ever want to add NPDE/EPRED columns you can use the addNpde