Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the flexibility of generalized additive model, and are important models ...

Other models, such as neural networks, are quite flexible, but very difficult to interpret. Generalized additive models (GAMs) are a nice balance between flexibility and interpretability. In this ...

More information: Jiangshan Lai et al, Evaluating the relative importance of predictors in Generalized Additive Models using the gam.hp R package, Plant Diversity (2024). DOI: 10.1016/j.pld.2024. ...