CMD + K

r-glmmsr

Community

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
Downloads (Last 6 months): 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.

Last Updated

Dec 4, 2019 at 21:35

License

GPL-2

Total Downloads

0

Version Downloads

0

Supported Platforms

linux-64
macOS-64
win-64