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gam.hp: Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models
Conducts hierarchical partitioning to calculate individual contributions of each predictor towards adjusted R2 and explained deviance for generalized additive models based on output of gam()in 'mgcv' package, applying the algorithm in this paper: Lai(2024) <doi:10.1016/j.pld.2024.06.002>.
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Package details |
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| Author | Jiangshan Lai [aut, cre] (<https://orcid.org/0000-0002-0279-8816>), Jing Tang [aut] |
| Maintainer | Jiangshan Lai <lai@njfu.edu.cn> |
| License | GPL |
| Version | 0.0-3 |
| URL | https://github.com/laijiangshan/gam.hp |
| Package repository | View on CRAN |
| Installation |
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