OncoBayes2
Bayesian Logistic Regression for Oncology Dose-Escalation Trials
Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) doi:10.1002/sim.3230 and Neuenschwander et al. (2016) doi:10.1080/19466315.2016.1174149 for details on the methodology.
- Version0.8-9
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Neuenschwander et al. (2008)
- Neuenschwander et al. (2016)
- Last release07/20/2023
Documentation
Team
Sebastian Weber
MaintainerShow author detailsTrustees of Columbia University
Show author detailsRolesCopyright holderNovartis Pharma AG
Show author detailsRolesCopyright holderLukas A. Widmer
Andrew Bean
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 553 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 4,740 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 Mar 28, 2025 with 69 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.
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Dependencies
- Imports18 packages
- Suggests5 packages
- Linking To6 packages