GLMMs with Adaptive Gaussian Quadrature - GLMMadaptive 0.6-0
Dear R mixed-model users, A new version of GLMMadaptive (0.6-0) has been rolled out on CRAN. Summary: GLMMadaptive fits mixed effects models using adaptive Gaussian quadrature to approximate the integrals over the random effects, allowing also for user-specified models. Website: https://drizopoulos.github.io/GLMMadaptive/ New features: - Mixed models for ordinal grouped/clustered outcomes using the continuation ratio model, with forward and backward formulation. A worked example can be found in the online vignette: https://drizopoulos.github.io/GLMMadaptive/articles/Ordinal_Mixed_Models.html - The new function VIF() calculates variance inflation factors for mixed models fitted in the package. - New family object unit.lindley() for fitting mixed models for bounded outcomes; an alternative to the Beta mixed model. - Faster implementation of the numerical integration algorithm. As always, any kind of feedback is more than welcome. Best, Dimitris
Dimitris Rizopoulos Professor of Biostatistics Department of Biostatistics Erasmus University Medical Center Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands Tel: +31/(0)10/7043478 Fax: +31/(0)10/7043014 Web (personal): http://www.drizopoulos.com/ Web (work): http://www.erasmusmc.nl/biostatistiek/ Blog: http://iprogn.blogspot.nl/