saemix (0.96.1)

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Stochastic Approximation Expectation Maximization (SAEM) algorithm.

http://cran.r-project.org/web/packages/saemix

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 (<a href="http://software.monolix.org/">http://software.monolix.org/</a>).

Maintainer: Emmanuelle Comets
Author(s): Emmanuelle Comets, Audrey Lavenu, Marc Lavielle.

License: GPL (>= 2)

Uses: Does not use any package

Released 3 months ago.

2 previous versions

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