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.