References
GLMs and Friends
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Preface
1
Linear Regression
2
Model Diagnostics and Assessment
3
Model Selection Using Information Criteria
4
Likelihood
5
PDFs and PMFs
6
Regression for Count Data
7
Model Averaging
8
Interactions
9
Binary Regression
10
Binary regression: Data with more than one trial per row
11
Collinearity and Multicollinearity
12
Zero-Inflation
13
Non-constant variance (and other unresolved problems)
14
Random Effects
15
Random effects with glmmTMB and standardized residuals
16
GEEs
17
Correlation Structures
18
Other Model Selection Approaches
19
GAMs: Generalized Additive Models
References
References
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19
GAMs: Generalized Additive Models