gmvjoint
Joint Models of Survival and Multivariate Longitudinal Data
Fit joint models of survival and multivariate longitudinal data. The longitudinal data is specified by generalised linear mixed models. The joint models are fit via maximum likelihood using an approximate expectation maximisation algorithm. Bernhardt (2015) doi:10.1016/j.csda.2014.11.011.
- Version0.4.5
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- gmvjoint citation info
- Last release10/05/2024
Documentation
Team
James Murray
Insights
Last 30 days
This package has been downloaded 213 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 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 3,087 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 Oct 08, 2024 with 40 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
- Imports7 packages
- Linking To2 packages