saemix (version 3.4)

SaemixObject-class: Class "SaemixObject"

Description

An object of the SaemixObject class, storing the input to saemix, and the results obtained by a call to the SAEM algorithm

Objects from the Class

An object of the SaemixObject class is created after a call to saemix and contain the following slots:

data:

Object of class "SaemixData": saemix dataset, created by a call to saemixData

model:

Object of class "SaemixModel": saemix model, created by a call to saemixModel

results:

Object of class "SaemixData": saemix dataset, created by a call to saemixData

rep.data:

Object of class "SaemixRepData": (internal) replicated saemix dataset, used the execution of the algorithm

sim.data:

Object of class "SaemixSimData": simulated saemix dataset

options:

Object of class "list": list of settings for the algorithm

prefs:

Object of class "list": list of graphical options for the graphs

Methods

[<-

signature(x = "SaemixObject"): replace elements of object

[

signature(x = "SaemixObject"): access elements of object

initialize

signature(.Object = "SaemixObject"): internal function to initialise object, not to be used

plot

signature(x = "SaemixObject"): plot the data

print

signature(x = "SaemixObject"): prints details about the object (more extensive than show)

showall

signature(object = "SaemixObject"): shows all the elements in the object

show

signature(object = "SaemixObject"): prints details about the object

summary

signature(object = "SaemixObject"): summary of the object. Returns a list with a number of elements extracted from the object.

Author

Emmanuelle Comets

Audrey Lavenu

Marc Lavielle.

Details

Details of the algorithm can be found in the pdf file accompanying the package.

References

E Comets, A Lavenu, M Lavielle M (2017). Parameter estimation in nonlinear mixed effect models using saemix, an R implementation of the SAEM algorithm. Journal of Statistical Software, 80(3):1-41.

E Kuhn, M Lavielle (2005). Maximum likelihood estimation in nonlinear mixed effects models. Computational Statistics and Data Analysis, 49(4):1020-1038.

E Comets, A Lavenu, M Lavielle (2011). SAEMIX, an R version of the SAEM algorithm. 20th meeting of the Population Approach Group in Europe, Athens, Greece, Abstr 2173.

See Also

SaemixData SaemixModel saemixControl saemix plot.saemix,

Examples

showClass("SaemixObject")