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bnma
View on CRAN: Click
here
Download and install bnma package within the R console
Install from CRAN:
install.packages("bnma")
Install from Github:
library("remotes")
install_github("cran/bnma")
Install by package version:
library("remotes")
install_version("bnma", "1.6.0")
Attach the package and use:
library("bnma")
Maintained by
Michael Seo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.bnma . bnma citation info . bnma results . bnma.pdf . bnma_1.6.0.tar.gz . bnma_1.6.0.zip . bnma_1.6.0.zip . bnma_1.6.0.zip . bnma_1.6.0.tgz . bnma_1.6.0.tgz . bnma_1.6.0.tgz . bnma_1.6.0.tgz . bnma_1.6.0.tgz . bnma_1.6.0.tgz . bnma archive . https://CRAN.R-project.org/package=bnma .
First Published: 2019-12-10
Latest Update: 2023-08-15
Description:
Network meta-analyses using Bayesian framework following Dias et al. (2013) . 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.
How to cite:
Michael Seo (2019). bnma: Bayesian Network Meta-Analysis using 'JAGS'. R package version 1.6.0, https://cran.r-project.org/web/packages/bnma. Accessed 01 Apr. 2025.
Previous versions and publish date:
Other packages that cited bnma R package
View bnma citation profile
Other R packages that bnma depends,
imports, suggests or enhances
Complete documentation for bnma
Functions, R codes and Examples using
the bnma R package
Some associated functions: blocker . bnma-package . calculate.contrast.deviance . calculate.deviance . cardiovascular . certolizumab . contrast.network.data . contrast.network.deviance.plot . contrast.network.leverage.plot . contrast.network.run . draw.network.graph . network.autocorr.diag . network.autocorr.plot . network.covariate.plot . network.cumrank.tx.plot . network.data . network.deviance.plot . network.forest.plot . network.gelman.diag . network.gelman.plot . network.inconsistency.plot . network.leverage.plot . network.rank.tx.plot . network.run . nodesplit.network.data . nodesplit.network.run . parkinsons . parkinsons_contrast . plot.contrast.network.result . plot.network.result . plot.ume.network.result . rank.tx . relative.effects . relative.effects.table . smoking . statins . sucra . summary.contrast.network.result . summary.network.result . summary.nodesplit.network.result . summary.ume.network.result . thrombolytic . ume.network.data . ume.network.run . variance.tx.effects .
Some associated R codes: bnma.R . contrast.network.R . network.data.R . network.inits.R . network.prior.R . network.rjags.R . network.run.R . network.summary.R . nodesplit.network.R . preprocess.data.R . ume.network.R . Full bnma package functions and examples
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