Bayesian Random-Effects Meta-Analysis


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Documentation for package ‘bayesmeta’ version 1.1

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bayesmeta-package Bayesian Random-Effects Meta-Analysis
bayesmeta Bayesian random-effects meta-analysis
bayesmeta.default Bayesian random-effects meta-analysis
bayesmeta.escalc Bayesian random-effects meta-analysis
Cochran1954 Fly counts example data
CrinsEtAl2014 Pediatric liver transplant example data
dhalfcauchy Lomax, half-normal, half-t, half-Cauchy, scaled inverse chi-squared and Rayleigh densities.
dhalfnormal Lomax, half-normal, half-t, half-Cauchy, scaled inverse chi-squared and Rayleigh densities.
dhalft Lomax, half-normal, half-t, half-Cauchy, scaled inverse chi-squared and Rayleigh densities.
dinvchisq Lomax, half-normal, half-t, half-Cauchy, scaled inverse chi-squared and Rayleigh densities.
dlomax Lomax, half-normal, half-t, half-Cauchy, scaled inverse chi-squared and Rayleigh densities.
drayleigh Lomax, half-normal, half-t, half-Cauchy, scaled inverse chi-squared and Rayleigh densities.
forest.bayesmeta Generate a forest plot for a 'bayesmeta' object (based on the 'metafor' package's plotting functions).
HinksEtAl2010 JIA example data
Peto1980 Aspirin after myocardial infarction example data
plot.bayesmeta Generate summary plots for a 'bayesmeta' object.
print.bayesmeta Bayesian random-effects meta-analysis
RhodesEtAlParameters Heterogeneity priors for continuous outcomes (standardized mean differences) as proposed by Rhodes et al. (2015).
RhodesEtAlPrior Heterogeneity priors for continuous outcomes (standardized mean differences) as proposed by Rhodes et al. (2015).
Rubin1981 8-schools example data
SidikJonkman2007 Postoperative complication odds example data
SnedecorCochran Artificial insemination of cows example data
summary.bayesmeta Bayesian random-effects meta-analysis
TurnerEtAlParameters (Log-Normal) heterogeneity priors for binary outcomes as proposed by Turner et al. (2015).
TurnerEtAlPrior (Log-Normal) heterogeneity priors for binary outcomes as proposed by Turner et al. (2015).