This is a nlmixr2 model that is pre-run so that it can be used in
package testing and development. It is regenerated whenever
binaries of nlmixr2extra
are created. If there is a binary
incompatability between the fit objects, a simple rerun of the
installation will fix this nlmixr2 fit object.
Format
A (modified) data frame with 132 rows and 22 columns.
- ID
Patient identifier
- TIME
Time (hr)
- DV
Dependent variable (concentration)
- PRED
Predictions without any between subject variability
- RES
Population Residual
- WRES
Weighted Residuals under the FO assumption
- IPRED
Individual Predictions
- IRES
Individual Residuals
- IWRES
Individual Weighted Residuals
- CPRED
Conditional Prediction under the FOCE assumption
- CRES
Conditional Residuals under the FOCE assumption
- CWRES
Conditional Weighted Residuals under the FOCE assumption
- eta.ka
Between subject changes for ka
- eta.cl
Between subject changes for v
- depot
amount in the depot compartment
- center
amount in the central compartment
- ka
Individual ka values
- cl
Individual cl values
- v
Individual volume of distribution
- tad
Time after dose
- dosenum
Dose number