longevity: Statistical Methods for the Analysis of Excess Lifetimes

A collection of parametric and nonparametric methods for the analysis of survival data. 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>.

Package details

AuthorLeo Belzile [aut, cre] (<https://orcid.org/0000-0002-9135-014X>)
MaintainerLeo Belzile <belzilel@gmail.com>
LicenseGPL-3
Version1.0.0
URL https://lbelzile.github.io/longevity/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("longevity")

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longevity documentation built on Nov. 12, 2023, 5:07 p.m.