Evaluating the relative importance of predictors in Generalized Additive Models using the gam.hp R package-Reference-Cited by-同舟云学术

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Evaluating the relative importance of predictors in Generalized Additive Models using the gam.hp R package

Published:2024-07 Issue:4 Volume:46 Page:542-546
ISSN:2468-2659
Container-title:Plant Diversity
language:en
Short-container-title:Plant Diversity

Author:

Lai Jiangshan^ORCID,Tang Jing,Li Tingyuan,Zhang Aiying,Mao Lingfeng

Publisher

Elsevier BV

Reference43 articles.

1. Regression analysis of spatial data;Beale;Ecol. Lett.,2010

2. Comment on “impacts of the cretaceous terrestrial revolution and KPg extinction on mammal diversification”;Bininda-Emonds;Science,2012

3. Dominance analysis: a new approach to the problem of relative importance of predictors in multiple-regression;Budescu;Psychol. Bull.,1993

4. Variable selection and importance in presence of high collinearity: an application to the prediction of lean body mass from multi-frequency bioelectrical impedance;Cammarota;J. Appl. Stat.,2020

5. Openair – an R package for air quality data analysis;Carslaw;Environ. Modell. Softw.,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. gam.hp: Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models;CRAN: Contributed Packages;2024-03-14

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