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bayesmeta (version 3.0)

Bayesian Random-Effects Meta-Analysis and Meta-Regression

Description

A collection of functions allowing to derive the posterior distribution of the two parameters in a random-effects meta-analysis, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, posterior predictive p-values, etc.; For more details, see also Roever C (2020) .

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Version

Install

install.packages('bayesmeta')

Monthly Downloads

1,055

Version

3.0

License

GPL (>= 2)

Maintainer

Christian Roever

Last Published

February 21st, 2022

Functions in bayesmeta (3.0)

HinksEtAl2010

JIA example data
Cochran1954

Fly counts example data
GoralczykEtAl2011

Liver transplant example data
RhodesEtAlPrior

Heterogeneity priors for continuous outcomes (standardized mean differences) as proposed by Rhodes et al. (2015).
Peto1980

Aspirin after myocardial infarction example data
KarnerEtAl2014

COPD example data
NicholasEtAl2019

Multiple sclerosis disability progression example data
CrinsEtAl2014

Pediatric liver transplant example data
BaetenEtAl2013

Ankylosing spondylitis example data
BucherEtAl1997

Direct and indirect comparison example data
convolve

Convolution of two probability distributions
bayesmeta-package

Bayesian Random-Effects Meta-Analysis and Meta-Regression
TurnerEtAlPrior

(Log-Normal) heterogeneity priors for binary outcomes as proposed by Turner et al. (2015).
Rubin1981

8-schools example data
RobergeEtAl2017

Aspirin during pregnancy example data
dhalflogistic

Half-logistic distribution.
SnedecorCochran

Artificial insemination of cows example data
dinvchi

Inverse-Chi distribution.
SidikJonkman2007

Postoperative complication odds example data
ess

Effective sample size (ESS)
forest.bayesmeta

Generate a forest plot for a bayesmeta object (based on the metafor package's plotting functions).
dhalfnormal

Half-normal, half-Student-t and half-Cauchy distributions.
funnel.bayesmeta

Generate a funnel plot for a bayesmeta object.
forestplot.bayesmeta

Generate a forest plot for a bayesmeta object (based on the forestplot package's plotting functions).
summary.bmr

Summarizing a bmr object).
forestplot.bmr

Generate a forest plot for a bmr object (based on the forestplot package's plotting functions).
forestplot.escalc

Generate a forest plot for an escalc object (based on the forestplot package's plotting functions).
weightsplot

Illustrate the posterior mean weights for a bayesmeta object.
kldiv

Kullback-Leibler divergence of two multivariate normal distributions.
uisd

Unit information standard deviation
traceplot

Illustrate conditional means of overall effect as well as study-specific estimates as a function of heterogeneity.
normalmixture

Compute normal mixtures
plot.bayesmeta

Generate summary plots for a bayesmeta object.
drayleigh

The Rayleigh distribution.
bmr

Bayesian random-effects meta-regression
bayesmeta

Bayesian random-effects meta-analysis
dlomax

The Lomax distribution.
pppvalue

Posterior predictive \(p\)-values