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 | |

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. |