nlmixrAugPred | R Documentation |
Augmented Prediction for nlmixr fit
nlmixrAugPred(
object,
...,
covsInterpolation = c("locf", "linear", "nocb", "midpoint"),
primary = NULL,
minimum = NULL,
maximum = NULL,
length.out = 51L
)
## S3 method for class 'nlmixrFitData'
augPred(
object,
primary = NULL,
minimum = NULL,
maximum = NULL,
length.out = 51,
...
)
object |
Nlmixr fit object |
... |
some methods for the generic may require additional arguments. |
covsInterpolation |
specifies the interpolation method for
time-varying covariates. When solving ODEs it often samples
times outside the sampling time specified in
|
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
|
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. |
Stacked data.frame with observations, individual/population predictions.
Matthew L. Fidler
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