Package: gam.hp 0.0-2

Jiangshan Lai

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>.

Authors:Jiangshan Lai [aut, cre], Jing Tang [aut]

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Bug tracker:https://github.com/laijiangshan/gam.hp/issues

On CRAN:

6 exports 6 stars 6.24 score 28 dependencies 112 mentions 4 scripts 282 downloads

Last updated 1 months agofrom:d393f32a20. Checks:OK: 7. Indexed: yes.

Exports:creatbingam.hpgenListoddpermu.gamhpplot.gamhp

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr