R: Bayesian Random-Effects Meta-Analysis and Meta-Regression

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

## Documentation for package ‘bayesmeta’ version 3.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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.