| Name : R-saemix
| |
| Version : 3.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.2.1
| Date : 2024-06-07 01:10:34
|
| Group : Development/Libraries/Other
| Source RPM : R-saemix-3.3-lp154.2.1.src.rpm
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| Size : 4.03 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Stochastic Approximation Expectation Maximization (SAEM) Algorithm
|
Description :
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
