Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models / Julian J. Faraway, University of Bath, UK.
"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 Re...
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Full Text (via EBSCO) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press, Taylor & Francis Group,
[2016]
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| Edition: | Second edition. |
| Series: | Texts in statistical science.
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| Subjects: |
Table of Contents:
- Binary response
- Binomial and proportion responses
- Variations on logistic regression
- Count regression
- Contingency tables
- Multinomial data
- Generalized linear models
- Other GLMs
- Random effects
- Repeated measures and longitudinal data
- Bayesian mixed effect models
- Mixed effect models for nonnormal responses
- Nonparametric regression
- Additive models
- Trees
- Neural networks.