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Linear mixed-effects models using R

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The article was published on 2013-01-01. It has received 432 citations till now. The article focuses on the topics: Computer network programming & Abstract machine.

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SIMR: an R package for power analysis of generalized linear mixed models by simulation

TL;DR: This paper presents a tutorial using a simple example of count data with mixed effects to guide the user along a gentle learning curve, adding only a few commands or options at a time.
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Parsimonious Mixed Models

TL;DR: This work shows that failure to converge typically is not due to a suboptimal estimation algorithm, but is a consequence of attempting to fit a model that is too complex to be properly supported by the data, irrespective of whether estimation is based on maximum likelihood or on Bayesian hierarchical modeling with uninformative or weakly informative priors.
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Physiological plasticity increases resilience of ectothermic animals to climate change

TL;DR: Research synthesizing the current state of knowledge about physiological plasticity in ectotherms shows that freshwater and marine animals seem to have a greater capacity for acclimation than terrestrial ones.
Journal ArticleDOI

Ocean acidification causes ecosystem shifts via altered competitive interactions

TL;DR: Although calcareous species recruited and grew at similar rates to fleshy seaweeds in ambient and low pH conditions, at later stages in low pH, they were rapidly overgrown, suggesting that changes in competitive balance could indirectly lead to profound ecosystem changes in an acidified ocean.