bipd
Bayesian Individual Patient Data Meta-Analysis using 'JAGS'
We use a Bayesian approach to run individual patient data meta-analysis and network meta-analysis using 'JAGS'. The methods incorporate shrinkage methods and calculate patient-specific treatment effects as described in Seo et al. (2021) doi:10.1002/sim.8859. This package also includes user-friendly functions that impute missing data in an individual patient data using mice-related packages.
- Version0.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- bipd citation info
- Last release06/05/2022
Documentation
Team
Michael Seo
Insights
Last 30 days
This package has been downloaded 278 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 12 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 3,823 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Aug 22, 2024 with 32 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
- Suggests8 packages