fitted.saemix

fitted.SaemixRes

fitted

fitted.SaemixObject

fitted is a generic function which extracts model predictions from objects returned by modelling functions

methods

The 'saemix' package implements the Stochastic Approximation EM algorithm for parameter estimation in (non)linear mixed effects models. The SAEM algorithm (i) 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, (ii) provides standard errors for the maximum likelihood estimator (iii) estimates the conditional modes, the conditional means and the conditional standard deviations of the individual parameters, using the Hastings-Metropolis algorithm (see Comets et al. (2017) <doi:10.18637/jss.v080.i03>). Many applications of SAEM in agronomy, animal breeding and PKPD analysis have been published by members of the Monolix group. The full PDF documentation for the package including references about the algorithm and examples can be downloaded on the github of the IAME research institute for 'saemix': <https://github.com/iame-researchCenter/saemix/blob/7638e1b09ccb01cdff173068e01c266e906f76eb/docsaem.pdf>.

Emmanuelle Comets

saemix

Stochastic Approximation Expectation Maximization (SAEM)
Algorithm

Audrey Lavenu

Marc Lavielle

Belhal Karimi

Maud Delattre

Marilou Chanel

Johannes Ranke

Sofia Kaisaridi

Lucie Fayette

fitted.saemix function

<dl><dt>object</dt>
<dd>an object of type SaemixRes or SaemixObject</dd>
<dt>type</dt>
<dd>string determining which predictions are extracted. Possible values are: "ipred" (individual predictions obtained using the mode of the individual distribution for each subject, default), "ppred" (population predictions obtained using the population parameters f(E(theta))), "ypred" (mean of the population predictions (E(f(theta)))) and "icpred" (individual predictions obtained using the conditional mean of the individual distribution). See user guide for details.</dd>
<dt>...</dt>
<dd>further arguments to be passed to or from other methods</dd></dl>

Arguments

Extract Model Predictions — fitted.saemix

<dl>

<dt>object</dt>
<dd>an object of type SaemixRes or SaemixObject</dd>


<dt>type</dt>
<dd>string determining which predictions are extracted. Possible values are: "ipred" (individual predictions obtained using the mode of the individual distribution for each subject, default), "ppred" (population predictions obtained using the population parameters f(E(theta))), "ypred" (mean of the population predictions (E(f(theta)))) and "icpred" (individual predictions obtained using the conditional mean of the individual distribution). See user guide for details.</dd>


<dt>...</dt>
<dd>further arguments to be passed to or from other methods</dd>

</dl>

Extract Model Predictions

fitted.saemix: Extract Model Predictions

Description

Usage

Value

Arguments