An object of the SaemixObject class, storing the input to saemix, and the results obtained by a call to the SAEM algorithm
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
signature(.Object = "SaemixObject")
: internal function to initialise object, not to be used
signature(x = "SaemixObject")
: plot the data
signature(x = "SaemixObject")
: prints details about the object (more extensive than show)
signature(object = "SaemixObject")
: shows all the elements in the object
signature(object = "SaemixObject")
: prints details about the object
signature(object = "SaemixObject")
: summary of the object. Returns a list with a number of elements extracted from the object.
Details of the algorithm can be found in the pdf file accompanying the package.
Kuhn E, Lavielle M. Maximum likelihood estimation in nonlinear mixed effects models. Computational Statistics and Data Analysis 49, 4 (2005), 1020-1038.
Comets E, Lavenu A, Lavielle M. SAEMIX, an R version of the SAEM algorithm. 20th meeting of the Population Approach Group in Europe, Athens, Greece (2011), Abstr 2173.
# NOT RUN {
showClass("SaemixObject")
# }
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