SaemixObject-class function

Class "SaemixObject"

Class "SaemixObject"

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

Details

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

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.

Examples

showClass("SaemixObject")

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,

Author(s)

Emmanuelle Comets emmanuelle.comets@inserm.fr

Audrey Lavenu

Marc Lavielle.

  • Maintainer: Emmanuelle Comets
  • License: GPL (>= 2)
  • Last published: 2024-03-05

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