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
)

Arguments

npde

When TRUE, request npde regardless of the algorithm used.

cwres

When TRUE, request CWRES and FOCEi likelihood regardless of the algorithm used.

saemNPDE

When TRUE and estimating with SAEM, adds NPDE metrics to fit including EPRED, ERES, and NPDE. (default TRUE);

saemCWRES

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)

nlmeNPDE

When TRUE and estimating with nlme, adds NPDE metrics to fit including EPRED, ERES, and NPDE. (default TRUE);

nlmeCWRES

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)

foceiNPDE

When TRUE and estimating with FOCEi, adds NPDE metrics to fit including EPRED, ERES, and NPDE. (default TRUE);

foceNPDE

When TRUE and estimating with FOCEi, adds NPDE metrics to fit including EPRED, ERES, and NPDE. (default TRUE);

nsim

Number of simulations. By default this is 300

ties

When TRUE, the npde distribution can have ties. When FALSE, the npde distribution uses uniform random numbers to prevent ties.

seed

Seed for running nlmixr simulation. By default 1009

Value

A list of table options for nlmixr

Details

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