historicalborrowlong
Longitudinal Bayesian Historical Borrowing Models
Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a longitudinal hierarchical model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through longitudinal benchmark models (independent and pooled). The hierarchical model approach to historical borrowing is discussed by Viele et al. (2013) doi:10.1002/pst.1589.
- Version0.1.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Languageen-US
- Last release09/25/2024
Documentation
Team
William Michael Landau
MaintainerShow author detailsEli Lilly and Company
Show author detailsRolesCopyright holderAlbert Man
Show author detailsRolesReviewer
Insights
Last 30 days
This package has been downloaded 531 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! 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 8,557 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 Sep 26, 2024 with 85 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
- Imports17 packages
- Suggests4 packages
- Linking To6 packages