Package: longevity 1.1.1

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>.

Authors:Leo Belzile [aut, cre]

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longevity.pdf |longevity.html✨
longevity/json (API)
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Bug tracker:https://github.com/lbelzile/longevity/issues

On CRAN:

extremessurvival-analysis

84 exports 1.25 score 6 dependencies 14 scripts 184 downloads

Last updated 2 months agofrom:6182dca002. Checks:OK: 9. Indexed: yes.

Exports:.censTruncLimits.censTruncLimitsDtrunc.check_surv.turnbull_intervalsautoplot.elife_northropcolemanautoplot.elife_parautoplot.elife_profileautoplot.elife_tstabboxcox_transfocheck_argumentscheck_elife_distdbearddbeardmakedelifedextgpdextweibulldgompdgompmakedgpddgppiecedperksdperksmakefit_ditrunc_elifefit_elifehazard_elifehazard_fn_elifehbeardhbeardmakehelifehexphextgphextweibullhgomphgompmakehgpdhperkshperksmakehweibulllpost_elifenc_score_testnc_testnll_ditrunc_elifenll_elifenp_elifenpsurvpbeardpbeardmakepelifepextgppextweibullpgomppgompmakepgpdpgppiecepperkspperksmakeprof_exp_scaleprof_gp_endptprof_gp_scaletprof_gp_shapeqbeardqbeardmakeqelifeqextgpqextweibullqgompqgompmakeqgpdqgppieceqperksqperksmaker_ditrunc_elifer_dtrunc_elifer_ltrc_eliferbeardrelifergppiecesamp_elifesamp2_elifeselifetest_ditrunc_elifetest_elifetstabturnbull_intervals

Dependencies:numDerivRcppRcppArmadillorlangRsolnptruncnorm