Hierarchical generalized additive models in ecology: an introduction with mgcv

Hierarchical generalized additive models in ecology: an introduction with mgcv

In this paper, we discuss an extension to two popular approaches to modeling complex structures in ecological data: the generalized additive model (GAM) and the hierarchical model (HGLM). The hierarchical GAM (HGAM), allows modeling of nonlinear functional relationships between covariates and outcom...

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Bibliographic Details
Main Authors: Eric J. Pedersen, David L. Miller, Gavin L. Simpson, Noam Ross
Format: Article
Language:English
Published: PeerJ Inc. 2019-05-01
Series:PeerJ
Subjects:
Generalized additive models
Hierarchical models
Time series
Functional regression
Smoothing
Regression
Online Access:https://peerj.com/articles/6876.pdf

Internet

https://peerj.com/articles/6876.pdf

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