multinma
Bayesian Network Meta-Analysis of Individual and Aggregate Data
Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) doi:10.1111/rssa.12579. Models are estimated in a Bayesian framework using 'Stan'.
- Version0.7.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- multinma citation info
- Last release09/16/2024
Documentation
- VignetteOverview of Examples
- VignetteExample: Atrial fibrillation
- VignetteExample: BCG vaccine for tuberculosis
- VignetteExample: Beta blockers
- VignetteExample: Diabetes
- VignetteExample: Dietary fat
- VignetteExample: Plaque psoriasis HTA report
- VignetteExample: Newly diagnosed multiple myeloma
- VignetteExample: Parkinson's disease
- VignetteExample: Plaque psoriasis ML-NMR
- VignetteExample: Smoking cessation
- VignetteExample: Statins for cholesterol lowering
- VignetteExample: Thrombolytic treatments
- VignetteExample: White blood cell transfusion
- MaterialREADME
- MaterialNEWS
- In ViewsMetaAnalysis
Team
David M. Phillippo
Insights
Last 30 days
This package has been downloaded 726 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 32 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 8,608 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jun 19, 2024 with 112 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
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Dependencies
- Imports23 packages
- Suggests15 packages
- Linking To6 packages