Statistical Methods for the Analysis of Excess Lifetimes R package longevity version 1.3.1 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>. Software Depends: R (>= 4.0.0) Imports: numDeriv, Rcpp (>= 1.0.6), rlang, Rsolnp LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, ggplot2 (>= 3.0.0), tinytest, rmarkdown Leo Belzile <belzilel@gmail.com> Comprehensive R Archive Network (CRAN) Leo Belzile [aut, cre] (ORCID: <https://orcid.org/0000-0002-9135-014X>), Mitchell O'Hara-Wild [ctb] (ORCID: <https://orcid.org/0000-0001-6729-7695>) GPL-3 2026-07-13 application/tgz https://CRAN.R-project.org/package=longevity doi:10.32614/CRAN.package.longevity