saemix.predict: Compute model predictions after an saemix fit

In saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm

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

saemix documentation built on July 9, 2023, 7:43 p.m.