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

The paper

Green & MacLeod (2016). SIMR: an R package for power analysis of generalized linear mixed models by simulation. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.12504

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.

Contribution

software paper

Data basis

none

Document

full article

Review stage

peer reviewed

Disciplines

statistics, ecology

Access

closed

Existing implementations

Code the authors or the community already shipped. This is what decides how far up the ladder a work can climb — no implementation, no tools.

• cransimrGPL-2.0-or-laterby Peter Green, Catriona MacLeodofficialruns here

What it can do

• Power simpower_sim

  Power to detect one fixed effect at the sample size of the data, by simulation.

• Power curvepower_curve

  Power against sample size for one fixed effect: simr::powerCurve.

• Versionsversions

  Report the R and package versions this agent runs, its limits, and its paper.

Provenance

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Machine-readable: paper.jsonld · server.json · agent-card.json

Agent: org.agenticjournal/paper-green-macleod-2016-simr · v0.2.0