Augmented Prediction for nlmixr2 fit
Arguments
- fit
Nlmixr2 fit object
- covsInterpolation
specifies the interpolation method for time-varying covariates. When solving ODEs it often samples times outside the sampling time specified in
events
. When this happens, the time varying covariates are interpolated. Currently this can be:"linear"
interpolation, which interpolates the covariate by solving the line between the observed covariates and extrapolating the new covariate value."constant"
-- Last observation carried forward (the default)."NOCB"
-- Next Observation Carried Backward. This is the same method that NONMEM uses."midpoint"
Last observation carried forward to midpoint; Next observation carried backward to midpoint.
- 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
(usinggetCovariate
), it will be used asprimary
.