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Code for assimilating ecological theory with empiricism. Using constrained generalized additive models to enhance survival analyses

Project ID: 9038
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McConnell, Tess M authored
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Assimilating ecological theory with empiricism: Using constrained generalized additive models to enhance survival analyses

Updates

Newer versions or comments regarding this source code may be available, please check here to ensure you are using the latest/appropriate version.

Authors

Ketz, A.C., D.J. Storm, R.E. Barker, A.D. Apa, C. Oliva-Aviles, and D.P. Walsh. 2023. Assimilating ecological theory with empiricism: Using constrained generalized additive models to enhance survival analyses. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.14057

Point of contact:

Alison Ketz (aketz@wisc.edu)

Information

Repository Type: Program R script

Year of Origin: 2022

Year of Version: 2023

Version: 1.0.0

Digital Object Identifier (DOI): https://doi.org/10.5066/P9ANP64H

USGS Information Product Data System (IPDS) no.: IP-146588

Suggested Citation for Software

Ketz, A.C., D.J. Storm, R.E. Barker, A.D. Apa, C. Oliva-Aviles, and D.P. Walsh. Assimilating ecological theory with empiricism: Using constrained generalized additive models to enhance survival analyses. Version 1.0.0: U.S. Geological Survey software release. Reston, Va. https://doi.org/10.5066/P9ANP64H

Abstract

This code supports an approach to continuous time survival analyses that incorporates model constraints based on species life history strategy. Specifically, the code structurally separates intrinsic patterns of mortality that arise from age specific processes (e.g. increasing survival during early life stages due to growth or maturation, versus senescence) from extrinsic mortality patterns that arise over different periods of time (e.g. seasonal temporal shifts). The code uses shape constrained generalized additive models (CGAMs) to obtain age-specific hazard functions that incorporate theoretical information based on classical survivorship curves into the age component of the model and capture extrinsic factors in the time component.

Updates

Newer versions or comments regarding this source code may be available, please check here to ensure you are using the latest/appropriate version.