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). |