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.
saemix.predict(object, type = c("ipred", "ypred", "ppred", "icpred"))an updated SaemixObject object
an SaemixObject object
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
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