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

被引：1801

作者：

Green, Peter ^{[1
]}

MacLeod, Catriona J. ^{[1
]}

机构：

[1] Landcare Res, Private Bag 1930, Dunedin 9054, New Zealand

来源：

METHODS IN ECOLOGY AND EVOLUTION | 2016年 / 7卷 / 04期

关键词：

experimental design; glmm; Monte Carlo; random effects; sample size; type II error; TESTS;

D O I：

10.1111/2041-210X.12504

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

1. The r package simr allows users to calculate power for generalized linear mixed models from the lme4 package. The power calculations are based on Monte Carlo simulations. 2. 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. 3. 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.

引用

页码：493 / 498

页数：6

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