bmeta: Bayesian Meta-Analysis and Meta-Regression

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Provides a collection of functions for conducting meta-analyses under Bayesian context in R. The package includes functions for computing various effect size or outcome measures (e.g. odds ratios, mean difference and incidence rate ratio) for different types of data based on MCMC simulations. Users are allowed to fit fixed- and random-effects models with different priors to the data. Meta-regression can be carried out if effects of additional covariates are observed. Furthermore, the package provides functions for creating posterior distribution plots and forest plot to display main model output. Traceplots and some other diagnostic plots are also available for assessing model fit and performance.

Author
Tao Ding, Gianluca Baio
Date of publication
2016-01-08 10:53:20
Maintainer
Gianluca Baio <gianluca@stats.ucl.ac.uk>
License
GPL (>= 2)
Version
0.1.2
URLs

View on CRAN

Man pages

acf.plot
Autocorrelation function plot
bmeta
Bayesian Meta Analysis/Meta-regression
bmeta-package
bmeta: A Bayesian Meta-Analysis Package for R
diag.plot
Diagnostic plot to examine model fit
forest.plot
Function to create forest plot
funnel.plot
Funnel plot to examine publication bias
posterior.plot
Posterior distribution plots for summary estimates and...
print.bmeta
Print method for 'bmeta' objects
traceplot.bmeta
Traceplot to assess convergence
writeModel
A function to write a text file encoding the modelling...

Files in this package

bmeta
bmeta/NAMESPACE
bmeta/R
bmeta/R/bmeta.R
bmeta/MD5
bmeta/DESCRIPTION
bmeta/man
bmeta/man/posterior.plot.Rd
bmeta/man/writeModel.Rd
bmeta/man/diag.plot.Rd
bmeta/man/acf.plot.Rd
bmeta/man/bmeta-package.Rd
bmeta/man/funnel.plot.Rd
bmeta/man/print.bmeta.Rd
bmeta/man/forest.plot.Rd
bmeta/man/traceplot.bmeta.Rd
bmeta/man/bmeta.Rd