[R-sig-ME] GLMMs with Adaptive Gaussian Quadrature - GLMMadaptive 0.6-0

[D. Rizopoulos]

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/