Methods in Ecology and Evolution · 2015 · 2.4K citations · 12 references
Natural SciencesEnvironmental SciencesData AnalyticsEnvironmental ModelingSimulation-based DesignEnvironmental SimulationMixed Model AnalysisMixed-effects ModelsPower AnalysisPower EstimationCount Data AnalysisGeneralized Linear Mixed ModelsGeneralized Linear Mixed-effects ModelsLinear Mixed ModelsPower CurvesPower Modeling And EstimationSimulation-based Power AnalysisSimulation-based Power Estimation
Summary The r package simr allows users to calculate power for generalized linear mixed models from the lme 4 package. The power calculations are based on Monte Carlo simulations. It includes tools for (i) running a power analysis for a given model and design; and (ii) calculating power curves to assess trade‐offs between power and sample size. This paper presents a tutorial using a simple example of count data with mixed effects (with structure representative of environmental monitoring data) to guide the user along a gentle learning curve, adding only a few commands or options at a time.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
John M. Hoenig, Dennis M. Heisey · The American Statistician · 2001 · 1.9K citations