Description
Bayesian Network Meta-Analysis using 'JAGS'.
Description
Network meta-analyses using Bayesian framework following Dias et al. (2013) <DOI:10.1177/0272989X12458724>. Based on the data input, creates prior, model file, and initial values needed to run models in 'rjags'. Able to handle binomial, normal and multinomial arm-level data. Can handle multi-arm trials and includes methods to incorporate covariate and baseline risk effects. Includes standard diagnostics and visualization tools to evaluate the results.
README.md
bnma (Bayesian network meta analysis)
This Package is quite similar and has been inspired by the popular Bayesian NMA package gemtc. Some additional features of bnma include:
- bnma allows binomial, normal, and multinomial outcomes.
- bnma adds modelling baseline risk
- bnma automatically checks for convergence using gelman-rubin diagnostics before sampling full iteration amount
- bnma generates reasonable and dispersed initial values if left unspecified
- bnma adds an option to report relative risk, risk difference, and number needed to treat using external placebo event rate when the outcome is binomial
- bnma adds new summary plots: rank plots, forest plot, etc
Please see the vignette for detailed examples of using this package.