Effect Displays inRfor Generalised Linear Models
This paper describes the implementation in R of a method for tabular or graphical display of terms in a complex generalised linear model. By complex, I mean a model that contains terms related by marginality or hierarchy, such as polynomial terms, or main effects and interactions. I call these tables or graphs effect displays. Effect displays are constructed by identifying high-order terms in a generalised linear model. Fitted values under the model are computed for each such term. The lower-order
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| Paper | Year | Cited |
|---|---|---|
| Generalized Additive Models. | 1991 | 8,296 |
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| Bayesian Modeling and Causal Inference | Computer Science |
| Data Analysis with R | Computer Science |
| Statistical Methods and Applications | Mathematics |
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