Bayesian Random-Effects Meta-Analysis and Meta-Regression

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Documentation for package ‘bayesmeta’ version 3.4

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bayesmeta-package Bayesian Random-Effects Meta-Analysis and Meta-Regression
BaetenEtAl2013 Ankylosing spondylitis example data
bayesmeta Bayesian random-effects meta-analysis
bayesmeta.default Bayesian random-effects meta-analysis
bayesmeta.escalc Bayesian random-effects meta-analysis
bmr Bayesian random-effects meta-regression
bmr.default Bayesian random-effects meta-regression
bmr.escalc Bayesian random-effects meta-regression
BucherEtAl1997 Direct and indirect comparison example data
Cochran1954 Fly counts example data
convolve Convolution of two probability distributions
CrinsEtAl2014 Pediatric liver transplant example data
dhalfcauchy Half-normal, half-Student-t and half-Cauchy distributions.
dhalflogistic Half-logistic distribution.
dhalfnormal Half-normal, half-Student-t and half-Cauchy distributions.
dhalft Half-normal, half-Student-t and half-Cauchy distributions.
dinvchi Inverse-Chi distribution.
dlomax The Lomax distribution.
drayleigh The Rayleigh distribution.
ehalfcauchy Half-normal, half-Student-t and half-Cauchy distributions.
ehalflogistic Half-logistic distribution.
ehalfnormal Half-normal, half-Student-t and half-Cauchy distributions.
ehalft Half-normal, half-Student-t and half-Cauchy distributions.
einvchi Inverse-Chi distribution.
elomax The Lomax distribution.
erayleigh The Rayleigh distribution.
ess Effective sample size (ESS)
ess.bayesmeta Effective sample size (ESS)
forest.bayesmeta Generate a forest plot for a 'bayesmeta' object (based on the 'metafor' package's plotting functions).
forestplot.bayesmeta Generate a forest plot for a 'bayesmeta' object (based on the 'forestplot' package's plotting functions).
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).
funnel.bayesmeta Generate a funnel plot for a 'bayesmeta' object.
GoralczykEtAl2011 Liver transplant example data
HinksEtAl2010 JIA example data
KarnerEtAl2014 COPD example data
kldiv Kullback-Leibler divergence of two multivariate normal distributions.
NicholasEtAl2019 Multiple sclerosis disability progression example data
normalmixture Compute normal mixtures
pairs.bmr Bayesian random-effects meta-regression
Peto1980 Aspirin after myocardial infarction example data
phalfcauchy Half-normal, half-Student-t and half-Cauchy distributions.
phalflogistic Half-logistic distribution.
phalfnormal Half-normal, half-Student-t and half-Cauchy distributions.
phalft Half-normal, half-Student-t and half-Cauchy distributions.
pinvchi Inverse-Chi distribution.
plomax The Lomax distribution.
plot.bayesmeta Generate summary plots for a 'bayesmeta' object.
plot.bmr Bayesian random-effects meta-regression
pppvalue Posterior predictive p-values
prayleigh The Rayleigh distribution.
print.bayesmeta Bayesian random-effects meta-analysis
print.bmr Bayesian random-effects meta-regression
print.summary.bmr Summarizing a 'bmr' object).
qhalfcauchy Half-normal, half-Student-t and half-Cauchy distributions.
qhalflogistic Half-logistic distribution.
qhalfnormal Half-normal, half-Student-t and half-Cauchy distributions.
qhalft Half-normal, half-Student-t and half-Cauchy distributions.
qinvchi Inverse-Chi distribution.
qlomax The Lomax distribution.
qrayleigh The Rayleigh distribution.
rhalfcauchy Half-normal, half-Student-t and half-Cauchy distributions.
rhalflogistic Half-logistic distribution.
rhalfnormal Half-normal, half-Student-t and half-Cauchy distributions.
rhalft Half-normal, half-Student-t and half-Cauchy distributions.
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).
rinvchi Inverse-Chi distribution.
rlomax The Lomax distribution.
RobergeEtAl2017 Aspirin during pregnancy example data
rrayleigh The Rayleigh distribution.
Rubin1981 8-schools example data
SchmidliEtAl2017 Historical variance example data
SidikJonkman2007 Postoperative complication odds example data
SnedecorCochran Artificial insemination of cows example data
summary.bayesmeta Bayesian random-effects meta-analysis
summary.bmr Summarizing a 'bmr' object).
traceplot Illustrate conditional means of study-specific estimates as well as overall mean (or other linear combinations) as a function of heterogeneity.
traceplot.bayesmeta Illustrate conditional means of study-specific estimates as well as overall mean (or other linear combinations) as a function of heterogeneity.
traceplot.bmr Illustrate conditional means of study-specific estimates as well as overall mean (or other linear combinations) as a function of heterogeneity.
traceplot.default Illustrate conditional means of study-specific estimates as well as overall mean (or other linear combinations) as a function of heterogeneity.
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).
uisd Unit information standard deviation
uisd.default Unit information standard deviation
uisd.escalc Unit information standard deviation
vhalfcauchy Half-normal, half-Student-t and half-Cauchy distributions.
vhalflogistic Half-logistic distribution.
vhalfnormal Half-normal, half-Student-t and half-Cauchy distributions.
vhalft Half-normal, half-Student-t and half-Cauchy distributions.
vinvchi Inverse-Chi distribution.
vlomax The Lomax distribution.
vrayleigh The Rayleigh distribution.
weightsplot Illustrate the posterior mean weights for a 'bayesmeta' object.
weightsplot.bayesmeta Illustrate the posterior mean weights for a 'bayesmeta' object.
weightsplot.default Illustrate the posterior mean weights for a 'bayesmeta' object.