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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>.

Version: 1.1.1
Depends: R (≥ 4.0.0)
Imports: numDeriv, Rcpp (≥ 1.0.6), rlang, Rsolnp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, ggplot2 (≥ 3.0.0), tinytest, rmarkdown
Published: 2024-07-19
DOI: 10.32614/CRAN.package.longevity
Author: Leo Belzile ORCID iD [aut, cre]
Maintainer: Leo Belzile <belzilel at gmail.com>
BugReports: https://github.com/lbelzile/longevity/issues
License: GPL-3
URL: https://lbelzile.github.io/longevity/
NeedsCompilation: yes
Materials: NEWS
CRAN checks: longevity results

Documentation:

Reference manual: longevity.pdf
Vignettes: Introducing longevity
Nonparametric maximum likelihood estimation for survival data

Downloads:

Package source: longevity_1.1.1.tar.gz
Windows binaries: r-devel: longevity_1.1.1.zip, r-release: longevity_1.1.1.zip, r-oldrel: longevity_1.1.1.zip
macOS binaries: r-release (arm64): longevity_1.1.1.tgz, r-oldrel (arm64): longevity_1.1.1.tgz, r-release (x86_64): longevity_1.1.1.tgz, r-oldrel (x86_64): longevity_1.1.1.tgz
Old sources: longevity archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=longevity to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.