subset-methods

subset,ANY-method

subset.SaemixData

subset,SaemixData-method

This method is used to select a subset of an SaemixData object

methods

The SAEMIX 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 (linearisation, 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://group.monolix.org/).

Emmanuelle Comets

saemix

Stochastic Approximation Expectation Maximization (SAEM)
algorithm

subset-methods function

<dl class="dl-horizontal">
<dt><code>signature(x = "ANY")</code></dt><dd>Default subset function</dd><dt><code>signature(x = "SaemixData")</code></dt><dd>A subset of the dataset can be selected (see <code>subset</code>
)</dd>
</dl>

Methods

Methods for subset — subset-methods

Methods for subset

subset-methods: Methods for subset

Description

Arguments

Methods