Power analysis for generalized linear mixed models in ecology and evolution-Reference-Cited by-同舟云学术

Power analysis for generalized linear mixed models in ecology and evolution

Published:2014-12-06 Issue:2 Volume:6 Page:133-142
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Johnson Paul C. D.¹²^ORCID,Barry Sarah J. E.²,Ferguson Heather M.¹,Müller Pie³⁴

Affiliation:

1. Boyd Orr Centre for Population and Ecosystem Health Institute of Biodiversity Animal Health and Comparative Medicine University of Glasgow Graham Kerr Building Glasgow G12 8QQ UK

2. Robertson Centre for Biostatistics University of Glasgow Boyd Orr Building Glasgow G12 8QQ UK

3. Department of Epidemiology and Public Health Swiss Tropical and Public Health Institute Socinstrasse 57, PO Box Basel CH‐4002 Switzerland

4. University of Basel Petersplatz 1 Basel CH‐4003 Switzerland

Funder

European Union Seventh Framework Programme FP7

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12306

Reference40 articles.

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2. Bates D. Maechler M. Bolker B.&Walker S.(2014).lme4: Linear mixed‐effects models using Eigen and S4. R package version 1.1‐7. Retrieved July 19 2014 fromhttp://cran.r-project.org/package=lme4

3. Fitting the Negative Binomial Distribution to Biological Data

4. Ecological Models and Data in R

5. Generalized linear mixed models: a practical guide for ecology and evolution

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