psi-methods

phi-methods

eta-methods

psi,SaemixObject-method

phi,SaemixObject-method

eta,SaemixObject-method

These methods are used to access estimates of individual parameters and random effects

methods

The SAEM package implements the Stochastic Approximation
        EM algorithm for parameter estimation in (non)linear mixed
        effects models. The SAEM algorithm: - computes the maximum
        likelihood estimator of the population parameters, without any
        approximation of the model (linearization, quadrature
        approximation,...), using the Stochastic Approximation
        Expectation Maximization (SAEM) algorithm, - provides standard
        errors for the maximum likelihood estimator - estimates the
        conditional modes, the conditional means and the conditional
        standard deviations of the individual parameters, using the
        Hastings-Metropolis algorithm. Several applications of SAEM in
        agronomy, animal breeding and PKPD analysis have been published
        by members of the Monolix group (http://software.monolix.org/).

psi-methods: Methods for Functions psi, phi and eta

Description

Arguments