longevity
1.3.1Statistical Methods for the Analysis of Excess Lifetimes
Overview
A collection of parametric and nonparametric methods for the analysis of survival data, described in doi:10.32614/RJ-2025-034. Parametric families implemented include Gompertz-Makeham, exponential and generalized Pareto models and extended models. The package includes an implementation of the nonparametric maximum likelihood estimator for arbitrary truncation and censoring pattern based on Turnbull (1976) doi:10.1111/j.2517-6161.1976.tb01597.x, along with graphical goodness-of-fit diagnostics. Parametric models for positive random variables and peaks over threshold models based on extreme value theory are described in Rootzén and Zholud (2017) doi:10.1007/s10687-017-0305-5; Belzile et al. (2021) doi:10.1098/rsos.202097 and Belzile et al. (2022) doi:10.1146/annurev-statistics-040120-025426.
Install
Health
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 87%
- Documented parameters
- 91%
- Return-value docs
- 100%
- References docs
- 14%
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Checks run against github.com/lbelzile/longevity on 2026-07-19.
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Package metadata
- First published
- 2023-11-12
- Total releases
- 8 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 2.0 MB / 7 files
- Download size
- 2.0 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet