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.
- Version1.1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release07/19/2024
Documentation
Team
Leo Belzile
Insights
Last 30 days
This package has been downloaded 174 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,369 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 08, 2024 with 45 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports4 packages
- Suggests4 packages
- Linking To2 packages