[R-sig-ME] GLMMs with Adaptive Gaussian Quadrature - GLMMadaptive 0.4-0
d@rizopoulo@ @ending from er@@mu@mc@nl
Mon Nov 5 11:52:48 CET 2018
Dear R mixed-model users,
A new version of GLMMadaptive (0.4-0) 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 family objects and extended support for models with an extra
* Zero-inflated Poisson using zi.poisson(), and hurdle/truncated
Poisson using hurdle.poisson().
* Zero-inflated negative binomial using zi.negative.binomial(), and
hurdle/truncated negative binomial using hurdle.negative.binomial().
* Two-part/hurdle model for semi-continuous Gaussian outcomes using
* Two-part/hurdle Beta using hurdle.beta.fam().
* More info in: vignette("ZeroInflated_and_TwoPart_Models", package =
- Full support has been added for multiple comparisons and effects
estimates as provided the **emmeans** and **multcomp** packages. More
info in: vignette("Multiple_Comparisons", package = "GLMMadaptive")
- The predict() method
* now works also for models with an extra zero-part;
* it has been extended to calculate dynamic predictions for the
different types of models using the 'newdata2' argument;
* the function scoring_rules() calculate proper scoring rules for
* More info in: vignette("Dynamic_Predictions", package = "GLMMadaptive")
As always, any kind of feedback is more than welcome.
Professor of Biostatistics
Department of Biostatistics
Erasmus University Medical Center
Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Web (personal): http://www.drizopoulos.com/
Web (work): http://www.erasmusmc.nl/biostatistiek/
More information about the R-sig-mixed-models