Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models /
Start analyzing a wide range of problems. Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regress...
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| Format: | Book |
| Language: | English |
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Boca Raton, Florida :
CRC P.,
2016
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| Edition: | Second edition |
| Series: | Texts in statistical science
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| Subjects: |
| Summary: | Start analyzing a wide range of problems. Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, second edition takes advantage of the greater functionality now available in R and substantially revises and adds several topics. New to the second edition: Expanded coverage of binary and binomial responses, including proportion responses, quasibinomial and beta regression, and applied considerations regarding these models; New sections on Poisson models with dispersion, zero inflated count models, linear discriminant analysis, and sandwich and robust estimation for generalized linear models (GLMs); Revised chapters on random effects and repeated measures that reflect changes in the lme4 package and show how to perform hypothesis testing for the models using other methods; New chapter on the Bayesian analysis of mixed effect models that illustrates the use of STAN and presents the approximation method of INLA; Revised chapter on generalized linear mixed models to reflect the much richer choice of fitting software now available; Updated coverage of splines and confidence bands in the chapter on nonparametric regression; New material on random forests for regression and classification; Revamped R code throughout, particularly the many plots using the ggplot2 package; Revised and expanded exercises with solutions now included. Demonstrates the interplay of theory and practice. This textbook continues to cover a range of techniques that grow from the linear regression model. It presents three extensions to the linear framework: GLMs, mixed effect models, and nonparametric regression models. The book explains data analysis using real examples and includes all the R commands necessary to reproduce the analyses |
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| Item Description: | A Chapman & Hall Book |
| Physical Description: | 1 online resource (xiii, 399 pages) : illustrations |
| Bibliography: | Includes bibliographical references |
| ISBN: | 1-315-38272-5 1-4987-2096-X |