Dear R mixed-model users, A new version of GLMMadaptive (0.5-1) 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: - Support is provided for the **effects** and **ggeffects** packages for producing effect plots. - Support is provided for the **DHARMa** package for checking the goodness-of-fit of fitted mixed models using scaled simulated residuals. Examples can be found in: vignette("Goodness_of_Fit", package = "GLMMadaptive") - Function marginal_coefs() for calculating coefficients with a marginal / population-averaged interpretation has a faster implementation. - The optimizer nlminb() can now also be invoked using the new control argument 'optimizer'; a new vignette describes how to control the optimization and numerical integration procedures in the package: vignette("Optimization", package = "GLMMadaptive") - New family object students.t() for fitting (robust) linear mixed models with a Student's t distribution for the error terms. 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/