GLMMs with Adaptive Gaussian Quadrature - GLMMadaptive 0.2-0
Wonderful Dimitris! I can't wait to check flavors?of the new features. RegardsChristopher.?
On Wednesday, July 4, 2018, 10:44:23 AM GMT+2, D. Rizopoulos <d.rizopoulos at erasmusmc.nl> wrote:
Dear R mixed-model users, A new version of GLMMadaptive (0.2-0) has been rolled out on CRAN. Summary: GLMMadaptive can fit mixed effects models using adaptive Gaussian quadrature to approximate the integrals over the random effects, allowing also for user-specified models. New features: - Zero-inflated Poisson and negative binomial models are now implemented using the family objects zi.poisson() and zi.negative.binomial(), respectively. In addition, taking into advantage of the fact that users can specify their own log density functions for the outcome, two-part / hurdle model can also be implemented. For examples, check the vignette: https://goo.gl/PkpTr4 - The predict() method is now fully available. It calculates predictions, and standard errors for models returned by mixed_model() at three levels: ? o "mean subject": only the fixed effects part corresponding to predictions for the average subject (but not population averaged predictions in case of nonlinear link functions). ? o "marginal": predictions using the marginalized coefficients that correspond to population averaged predictions. ? o "subject specific": predictions at the subject level. These can be also calculated for subjects not originally in the dataset (i.e., estimates of the random effects are internally obtained). - The simulate() method is available to simulate data from fitted mixed models. This can be used for instance to perform replication / posterior predictive checks. More info in the vignette: https://goo.gl/nKK8kt 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/ _______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models [[alternative HTML version deleted]]