CBnetworkMA
Contrast-Based Bayesian Network Meta Analysis
A function that facilitates fitting three types of models for contrast-based Bayesian Network Meta Analysis. The first model is that which is described in Lu and Ades (2006) doi:10.1198/016214505000001302. The other two models are based on a Bayesian nonparametric methods that permit ties when comparing treatment or for a treatment effect to be exactly equal to zero. In addition to the model fits, the package provides a summary of the interplay between treatment effects based on the procedure described in Barrientos, Page, and Lin (2023) doi:10.48550/arXiv.2207.06561.
- Version0.1.0
- R version≥ 4.2
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release03/07/2024
Documentation
Team
Garritt L. Page
S. McKay Curtis
Show author detailsRolesContributor, Copyright holderAndres F. Barrientos
Show author detailsRolesContributor, Copyright holderRadford M. Neal
Show author detailsRolesContributor, Copyright holder
Insights
Last 30 days
This package has been downloaded 150 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 5 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 2,065 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 125 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
- Suggests1 package