flexsurv
Flexible Parametric Survival and Multi-State Models
Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions. Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard. There are also tools for fitting and predicting from fully parametric multi-state models, based on either cause-specific hazards or mixture models.
- Version2.3.2
- R version≥ 2.15.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- flexsurv citation info
- Last release08/17/2024
Documentation
Team
Christopher Jackson
MaintainerShow author detailsMatthew T. Warkentin
Show author detailsRolesContributorJordan Amdahl
Show author detailsRolesContributorKevin Kunzmann
Show author detailsRolesContributorPaul Metcalfe
Show author detailsRolesContributorMichael Sweeting
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 8,767 times in the last 30 days. That's a lot of interest! Someone might even write a blog post about it. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 334 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 87,471 times in the last 365 days. An impressive feat! Enough downloads to make even seasoned academics take note. The day with the most downloads was May 01, 2024 with 719 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
- Depends1 package
- Imports20 packages
- Suggests13 packages
- Linking To1 package
- Reverse Depends3 packages
- Reverse Imports30 packages
- Reverse Suggests25 packages