boostrap.data: Bootstrap datasets
In saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm

dataGen.case

R Documentation

Bootstrap datasets

These functions create bootstrapped datasets using the bootstrap methods described in saemix.bootstrap

dataGen.case(saemixObject)

dataGen.NP(saemixObject, nsamp = 0, eta.sampc = NULL, conditional = FALSE)

dataGen.Par(saemixObject)

`saemixObject`	an object returned by the `saemix` function
`nsamp`	number of samples from the conditional distribution (for method="conditional")
`eta.sampc`	if available, samples from the conditional distribution (otherwise, they are obtained within the function)
`conditional`	if TRUE, sample from the conditional distribution, if FALSE, sample within the empirical Bayes estimates (EBE) as in the traditional non-parametric residual bootstrap