Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Michael Seo [aut, cre] |
| Maintainer | Michael Seo <swj8874@gmail.com> |
| License | GPL-3 |
| Version | 0.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the bipd package in your browser
Any scripts or data that you put into this service are public.
