nlmixr2AugPredSolve: Augmented Prediction for nlmixr2 fit

In nlmixr2est: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines

Augmented Prediction for nlmixr2 fit

Description

Augmented Prediction for nlmixr2 fit

Usage

nlmixr2AugPredSolve(
  fit,
  covsInterpolation = c("locf", "nocb", "linear", "midpoint"),
  minimum = NULL,
  maximum = NULL,
  length.out = 51L,
  ...
)

## S3 method for class 'nlmixr2FitData'
augPred(
  object,
  primary = NULL,
  minimum = NULL,
  maximum = NULL,
  length.out = 51,
  ...
)

Arguments

fit	Nlmixr2 fit object
covsInterpolation	covariate interpolation; by default the one the fit was estimated with
minimum	an optional lower limit for the primary covariate. Defaults to min(primary).
maximum	an optional upper limit for the primary covariate. Defaults to max(primary).
length.out	an optional integer with the number of primary covariate values at which to evaluate the predictions. Defaults to 51.
...	some methods for the generic may require additional arguments.
object	a fitted model object from which predictions can be extracted, using a predict method.
primary	an optional one-sided formula specifying the primary covariate to be used to generate the augmented predictions. By default, if a covariate can be extracted from the data used to generate object (using getCovariate), it will be used as primary.

Value

Stacked data.frame with observations, individual/population predictions.

Author(s)

Matthew L. Fidler

nlmixr2est documentation built on Oct. 14, 2026, 1:07 a.m.