Modeling periodic mortality (or other time-to event) processes from right-censored data. Given observations of a process with a known period (e.g. 365 days, 24 hours), functions determine the number, intensity, timing, and duration of peaks of periods of elevated hazard within a period. The underlying model is a mixed wrapped Cauchy function fitted using maximum likelihoods (details in Gurarie et al. (2020) <doi:10.1111/2041-210X.13305>). The development of these tools was motivated by the strongly seasonal mortality patterns observed in many wild animal populations. Thus, the respective periods of higher mortality can be identified as "mortality seasons".
| Version: | 1.0.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | flexsurv, lubridate, magrittr, mvtnorm, plyr, scales, stats, survival |
| Suggests: | knitr, rmarkdown, ggplot2 |
| Published: | 2025-05-23 |
| DOI: | 10.32614/CRAN.package.cyclomort |
| Author: | Eliezer Gurarie [aut, cre], Thompson Peter [aut] |
| Maintainer: | Eliezer Gurarie <egurarie at esf.edu> |
| BugReports: | https://github.com/EliGurarie/cyclomort/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/EliGurarie/cyclomort |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| In views: | Survival |
| CRAN checks: | cyclomort results |
| Reference manual: | cyclomort.html , cyclomort.pdf |
| Vignettes: |
cyclomort (source, R code) |
| Package source: | cyclomort_1.0.3.tar.gz |
| Windows binaries: | r-devel: cyclomort_1.0.3.zip, r-release: cyclomort_1.0.3.zip, r-oldrel: cyclomort_1.0.3.zip |
| macOS binaries: | r-release (arm64): cyclomort_1.0.3.tgz, r-oldrel (arm64): cyclomort_1.0.3.tgz, r-release (x86_64): cyclomort_1.0.3.tgz, r-oldrel (x86_64): cyclomort_1.0.3.tgz |
| Old sources: | cyclomort archive |
Please use the canonical form https://CRAN.R-project.org/package=cyclomort to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.