JointFPM
A Parametric Model for Estimating the Mean Number of Events
Implementation of a parametric joint model for modelling recurrent and competing event processes using generalised survival models. The joint model can subsequently be used to predict the mean number of events in the presence of competing risks at different time points. Comparisons of the mean number of event functions, e.g. the differences in mean number of events between two exposure groups, are also available.
- Version1.2.1
- R version≥ 4.0
- LicenseCC BY 4.0
- Needs compilation?No
- Last release06/19/2024
Documentation
Team
Joshua P. Entrop
Alessandro Gasparini
Show author detailsRolesContributorMark Clements
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 256 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 9 times.
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Last 365 days
This package has been downloaded 3,566 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 74 downloads.
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Dependencies
- Imports9 packages
- Suggests1 package