Multivariate generalized linear mixed models using R
To provide researchers with the ability to analyze large and complex data sets using robust models, this book presents a unified framework for a broad class of models that can be applied using a dedicated R package (Sabre). The first five chapters cover the analysis of multilevel models using univariate generalized linear mixed models (GLMMs). The next few chapters extend to multivariate GLMMs and the last chapters address more specialized topics, such as parallel computing for large-scale anal…
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- Full title :Multivariate generalized linear mixed models using R / Damon M. Berridge, Robert Crouchley
Summary
To provide researchers with the ability to analyze large and complex data sets using robust models, this book presents a unified framework for a broad class of models that can be applied using a dedicated R package (Sabre). The first five chapters cover the analysis of multilevel models using univariate generalized linear mixed models (GLMMs). The next few chapters extend to multivariate GLMMs and the last chapters address more specialized topics, such as parallel computing for large-scale analyses. Each chapter includes many real-world examples implemented using Sabre as well as exercises and suggestions for further reading. Appendices cover selected background topics and computing aspects
Read More ↓Edition Statements
- Publication Date:2011
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton, FL
- Language:eng
- Publication Date:2011
The Physical Object
- Description:xxiii, 280 p.
Edition Identifiers
- ISBN:9781439813263, 1439813264
- oclc:ocn768975410
- LC Classification:HA31.35
- Dewey Decimal:003 .35133
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