cyclomort-package: Cyclomort: periodic survival modeling

In cyclomort: Survival Modeling with a Periodic Hazard Function

Description

This package allows users to estimate parametric hazard functions with a known periodicity and one of more peak seasons of heightened mortality risk. It was motivated by the strongly seasonal mortality signal observed in many wild animal populations, but the model may be useful for any periodic time-to-event process.

Details

The central estimation function fit_cyclomort produces estimates for timing, duration and intensity of mortality peaks from right-censored survival data. Other functions simulate survival data from periodic hazard functions (simulate_cycloSurv), perform model selection to identify the number of seasons (select_seasons), perform simple hypothesis tests (factorfit_cyclomort), and various methods for visualizing and summarizing fits and model predictions. Several data sets are also included.

Details of the underlying model, motivation, and examples of implementation on mortality data are in the Gurarie et al. (2020). An active development version is on GitHub at https://github.com/EliGurarie/cyclomort. The vignette provides several examples of the functionality of the package.

Author(s)

Maintainer: Eliezer Gurarie [e-mail]

Authors:

• Thompson Peter

References

E. Gurarie, P. Thompson, A. Kelly, N. Larter, W. Fagan and K. Joly. 2020. For Everything There is a Season: Estimating periodic hazard functions with the cyclomort R package. Methods in Ecology and Evolution, 11(1):129-139. <doi:10.1111/2041-210X.13305>

See Also

Useful links:

• https://github.com/EliGurarie/cyclomort

• Report bugs at https://github.com/EliGurarie/cyclomort/issues

cyclomort documentation built on Aug. 20, 2020, 5:06 p.m.