boostrap.data: Bootstrap datasets

In saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm

Bootstrap datasets

Description

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

Usage

dataGen.case(saemixObject)

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

dataGen.Par(saemixObject)

Arguments

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

saemix documentation built on Aug. 8, 2025, 7:47 p.m.