| saemix.predict {saemix} | R Documentation |
Compute model predictions after an saemix fit
Description
In nonlinear mixed effect models, different types of predictions may be obtained, including individual predictions and population predictions. This function takes an SaemixObject and adds any missing predictions for maximum a posteriori and conditional mean estimations of the individual parameters, and for the different types of individual and population predictions for the response variable.
Usage
saemix.predict(object, type = c("ipred", "ypred", "ppred", "icpred"))
Arguments
object |
an SaemixObject object |
type |
the type of predictions (ipred= individual, ppred=population predictions obtained with the population estimates, ypred=mean of the population predictions, icpred=conditional predictions). By default, computes all the predictions and residuals, along with the corresponding parameter estimates |
Details
This function is used internally by saemix to automatically compute a number of elements needed for diagnostic plots. It is normally executed directly during a call to saemix() but can be called to add residuals
Value
an updated SaemixObject object