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Methods in Ecology and Evolution· 2015Q1

<scp>SIMR</scp>: an R package for power analysis of generalized linear mixed models by simulation

Peter Green, Catriona J. MacLeod

Short summary

The R package simr enables power analysis for generalized linear mixed models (GLMMs) using Monte Carlo simulations, including tools for direct power analysis and generating power curves.

AI-generated from the title and abstract; the full text is not read.

Key points

  • simr is an R package for power analysis of GLMMs.
  • Power calculations are performed using Monte Carlo simulations.
  • The package includes tools for direct power analysis and creating power curves.
  • It facilitates assessment of trade-offs between statistical power and sample size.

AI-generated from the title and abstract; the full text is not read.

Abstract

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.

The authors' abstract, as published at the source. Methods in Ecology and Evolution, 2015 · DOI ↗

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Field: Statistics and Probability

Statistics and ProbabilityMathematics