saemix (version 0.96.1)

SaemixData-class: Class "SaemixData"

Description

An object of the SaemixData class, representing a longitudinal data structure, used by the SAEM algorithm.

Objects from the Class

An object of the SaemixData class can be created by using the function saemixData

References

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

Monolix32_UsersGuide.pdf (http://software.monolix.org/sdoms/software/)

See Also

saemixData,SaemixModel, saemixControl,saemix

Examples

showClass("SaemixData")

# Specifying column names
data(theo.saemix)
saemix.data<-saemixData(name.data=theo.saemix,header=TRUE,sep="",na=NA, 
  name.group=c("Id"),name.predictors=c("Dose","Time"),
  name.response=c("Concentration"),name.covariates=c("Weight","Sex"),
  units=list(x="hr",y="mg/L",covariates=c("kg","-")), name.X="Time")

# Specifying column numbers
data(theo.saemix)
saemix.data<-saemixData(name.data=theo.saemix,header=TRUE,sep="",na=NA,
  name.group=1,name.predictors=c(2,3),name.response=c(4), name.covariates=5:6, 
  units=list(x="hr",y="mg/L",covariates=c("kg","-")), name.X="Time")

# No column names specified, using automatic recognition of column names
data(PD1.saemix)
saemix.data<-saemixData(name.data=PD1.saemix,header=TRUE, 
  name.covariates=c("gender"),units=list(x="mg",y="-",covariates=c("-")))