
Mixed Effects Models and Extensions in Ecology with R
Alain F. ZuurBuilding on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing your own data. Data and R code from all chapters are available from www.highstat.com.
Users may also choose to open a script file (with file extension *.ssc) from the File ... The function, lme, fits linear mixed-effects model with much flexibility given to ... 16 Sep 2014 ... A video showing basic usage of the "lme" command (nlme library) in R. In particular, I compare output from the lm() command with that from a ...
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13 Apr 2017 ... There are many roads you can take to fit a mixed effects model (sometimes ... Mixed Effects Models and Extensions in Ecology with. R my go-to ... 26 Oct 2011 ... Recent posts include an overview of linear mixed models in R, and worked ... linear or nonlinear mixed-effects models (aka random-effects models, ... "Mixed Effects Models and Extensions in Ecology with R" by Zuur et al.

Mixed Effects Models and Extensions in Ecology with R Statistics for Biology and Health: Amazon.co.uk: Alain Zuur, Elena N. Ieno, Neil Walker: Books. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM.

With these models, readers can perform parameter estimation and modeling across a whole population of individuals at the same time. Easy-to-Use Techniques ...

Noté /5. Retrouvez Mixed Effects Models and Extensions in Ecology With R et des millions de livres en stock sur Amazon.fr. Achetez neuf ou d'occasion. Köp Mixed Effects Models and Extensions in Ecology with R av Alain F Zuur, Elena N Ieno, Neil Walker, Anatoly A Saveliev, Graham M Smith på Bokus.com.

Statistics for Biology and Health Series Editors: M. Gail K. Krickeberg J. M. Samet A. Tsiatis W. Wong Statistics for ... The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and ...