Check nearby libraries
Buy this book

The second edition includes more discussion on
-
binary and binomial responses,
-
proportion responses,
-
quasibinomial and beta regression, and
-
applied considerations regarding these models
- splines and confidence bands
New sections and chapters on
-
Poisson models with dispersion,
-
zero inflated count models,
-
linear discriminant analysis,
-
estimation for GLMs,
-
Bayesian analysis of mixed effect models,
- Random forests
Revised chapters on
-
random effects (updating alongside the
lme4
package and showing alternative methods of hypothesis testing)
- generalized linear mixed models (updating alongside new software)
Check nearby libraries
Buy this book

Edition | Availability |
---|---|
1
Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models
2016, Taylor & Francis
in English
- Second edition.
149872096X 9781498720960
|
aaaa
|
Book Details
Edition Notes
"A CRC title."
Includes bibliographical references and index.
Classifications
The Physical Object
Edition Identifiers
Work Identifiers
Work Description
Extending the linear model with R (Second Edition) discusses linear models beyond simple linear regression: Generalized Linear Models (GLMs), mixed effect models, and nonparametric regression models. Code is primarily in R, and the book is geared towards teaching by doing.
Community Reviews (0)
April 4, 2023 | Edited by kgerot | Edited without comment. |
April 4, 2023 | Edited by kgerot | Adding description and tags |
September 21, 2020 | Created by MARC Bot | import new book |