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Fitting Linear Mixed-Effects Models Using lme4
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for mostExpand
Linear Mixed-Effects Models using 'Eigen' and S4
TLDR
The core computational algorithms are implemented using the Eigen C++ library for numerical linear algebra and RcppEigen``glue''. Expand
Generalized linear mixed models: a practical guide for ecology and evolution.
TLDR
The use (and misuse) of GLMMs in ecology and evolution are reviewed, estimation and inference are discussed, and 'best-practice' data analysis procedures for scientists facing this challenge are summarized. Expand
Ecological Models and Data in R
TLDR
In step-by-step detail, Benjamin Bolker teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Expand
glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling
TLDR
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. Expand
fitting linear mixed effects models using lme 4 arxiv
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for mostExpand
Spatial Moment Equations for Plant Competition: Understanding Spatial Strategies and the Advantages of Short Dispersal
TLDR
The model shows that specializations for colonization, exploitation, and tolerance are all possible, and these are the only possible spatial strategies; among them, they partition all of the endogenous spatial structure in the environment. Expand
A simple model for complex dynamical transitions in epidemics.
TLDR
This work has shown that measles is a natural ecological system that exhibits different dynamical transitions at different times and places, yet all of these transitions can be predicted as bifurcations of a single nonlinear model. Expand
A cross-system synthesis of consumer and nutrient resource control on producer biomass.
TLDR
It was showed that producer community biomass increased with fertilization across all systems, although increases were greatest in freshwater habitats, and herbivore removal generally increased producer biomass in both freshwater and marine systems, but effects were inconsistent on land. Expand
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