parfm
Parametric Frailty Models
Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Fréchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.
- Version2.7.7
- R version≥ 2.10
- LicenseGPL-2
- Needs compilation?No
- parfm citation info
- Last release01/17/2023
Documentation
Team
Federico Rotolo
Marco Munda
Show author detailsRolesAuthorAndrea Callegaro
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 356 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 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 5,056 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was May 29, 2024 with 58 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
- Depends2 packages
- Imports2 packages
- Reverse Imports1 package