Fit a nlmixr model

nlmixr_fit(
  uif,
  data,
  est = NULL,
  control = list(),
  ...,
  sum.prod = FALSE,
  table = tableControl(),
  keep = NULL,
  drop = NULL,
  save = NULL,
  envir = parent.frame()
)

Arguments

uif: Parsed nlmixr model (by nlmixr(mod.fn)).
data: Dataset to estimate. Needs to be RxODE compatible (see https://nlmixrdevelopment.github.io/RxODE/articles/RxODE-event-types.html for detailed dataset requirements).
est: Estimation method
control: Estimation control options. They could be nlmeControl, saemControl or foceiControl
...: Parameters passed to estimation method.
sum.prod: Take the RxODE model and use more precise products/sums. Increases solving accuracy and solving time.
table: A list controlling the table options (i.e. CWRES, NPDE etc). See tableControl.
keep: Columns to keep from either the input dataset. For the input dataset, if any records are added to the data LOCF (Last Observation Carried forward) imputation is performed.
drop: Columns to drop from the output
save: This option determines if the fit will be saved to be reloaded if already run. If NULL, get the option from options("nlmixr.save");
envir: Environment that nlmixr is evaluated in.

Value

nlmixr fit object

Author

Matthew L. Fidler