nlmixr2AugPredSolve  R Documentation 
Augmented Prediction for nlmixr2 fit
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,
...
)
fit 
Nlmixr2 fit object 
covsInterpolation 
specifies the interpolation method for
timevarying covariates. When solving ODEs it often samples
times outside the sampling time specified in

minimum 
an optional lower limit for the primary
covariate. Defaults to 
maximum 
an optional upper limit for the primary
covariate. Defaults to 
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 
primary 
an optional onesided 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

Stacked data.frame with observations, individual/population predictions.
Matthew L. Fidler
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.