SaemixObject-class | R Documentation |

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

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

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

- [<-
`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`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.

Emmanuelle Comets emmanuelle.comets@inserm.fr

Audrey Lavenu

Marc Lavielle.

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.

`SaemixData`

`SaemixModel`

`saemixControl`

`saemix`

`plot.saemix`

,

showClass("SaemixObject")

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