Book ChapterDOI
Linear and generalized linear mixed models
Benjamin M. Bolker
- pp 309-333
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The article was published on 2015-01-29. It has received 159 citations till now. The article focuses on the topics: Generalized linear mixed model.read more
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Journal ArticleDOI
glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling
Mollie Elizabeth Brooks,Kasper Kristensen,Koen J. van Benthem,Arni Magnusson,Casper Willestofte Berg,Anders Nielsen,Hans J. Skaug,Martin Mächler,Benjamin M. Bolker +8 more
TL;DR: The glmmTMB package fits many types of GLMMs and extensions, including models with continuously distributed responses, but here the authors focus on count responses and its ability to estimate the Conway-Maxwell-Poisson distribution parameterized by the mean is unique.
Journal ArticleDOI
Repeated Measures Correlation
TL;DR: The R package (rmcorr) is introduced and its use for inferential statistics and visualization with two example datasets are used to illustrate research questions at different levels of analysis, intra-individual, and inter-individual.
Journal ArticleDOI
Analysing continuous proportions in ecology and evolution: A practical introduction to beta and Dirichlet regression
TL;DR: In this article, the authors provide an overview of the different types of proportional data and discuss the different analysis strategies available, as well as some of the most important extensions of Dirichlet and Beta Regression.
Posted ContentDOI
Modeling zero-inflated count data with glmmTMB
Mollie Elizabeth Brooks,Kasper Kristensen,van Benthem Kj,Arni Magnusson,Casper Willestofte Berg,Anders Nielsen,Hans J. Skaug,Martin Mächler,Benjamin M. Bolker +8 more
TL;DR: A new R package, glmmTMB, is presented, that increases the range of models that can easily be fitted to count data using maximum likelihood estimation and is faster than packages that use Markov chain Monte Carlo sampling for estimation.
Book ChapterDOI
An Introduction to Mixed Models for Experimental Psychology
Henrik Singmann,David Kellen +1 more
TL;DR: In this article, the authors describe a class of statistical model that is able to account for most of the cases of nonindependence that are typically encountered in psychological experiments, linear mixed-effects models, or mixed models for short.