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r-glmmsr

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Conduct inference about generalized linear mixed models, with a choice about which method to use to approximate the likelihood. In addition to the Laplace and adaptive Gaussian quadrature approximations, which are borrowed from 'lme4', the likelihood may be approximated by the sequential reduction approximation, or an importance sampling approximation. These methods provide an accurate approximation to the likelihood in some situations where it is not possible to use adaptive Gaussian quadrature.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-glmmsr

Usage Tracking

0.2.3
1 / 8 versions selected
Total downloads: 0

About

Summary

Conduct inference about generalized linear mixed models, with a choice about which method to use to approximate the likelihood. In addition to the Laplace and adaptive Gaussian quadrature approximations, which are borrowed from 'lme4', the likelihood may be approximated by the sequential reduction approximation, or an importance sampling approximation. These methods provide an accurate approximation to the likelihood in some situations where it is not possible to use adaptive Gaussian quadrature.

Information Last Updated

Apr 22, 2025 at 15:32

License

GPL-2

Total Downloads

0

Platforms

Linux 64 Version: 0.2.3
macOS 64 Version: 0.2.3
Win 64 Version: 0.2.3