[R-sig-ME] GLMMs with Adaptive Gaussian Quadrature - GLMMadaptive 0.4-0

[D. Rizopoulos]

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 features:

- New family objects and extended support for models with an extra
zero-part:

* 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
hurdle.lognormal().

* Two-part/hurdle Beta using hurdle.beta.fam().

* More info in: vignette("ZeroInflated_and_TwoPart_Models", package =
"GLMMadaptive")

- 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
categorical data.

* More info in: vignette("Dynamic_Predictions", package = "GLMMadaptive")

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: [phone]
Fax: [phone]
Web (personal): http://www.drizopoulos.com/
Web (work): http://www.erasmusmc.nl/biostatistiek/
Blog: http://iprogn.blogspot.nl/