An S7 class for storing Bayesian meta-analysis results for few studies.
Usage
BayesianMetaFewResult(
posterior_summary = data.frame(),
credible_intervals = data.frame(),
prior_summary = data.frame(),
few_studies_adjustment = "",
prob_positive = 0.5,
prob_negative = 0.5,
heterogeneity = list(),
tau_summary = data.frame(),
prior_sensitivity = list(),
model = NULL,
n_studies = integer(0),
effect_measure = "hr",
metadata = list()
)Arguments
- posterior_summary
Data frame with posterior summary statistics
- credible_intervals
Data frame with credible intervals
- prior_summary
Data frame with prior specification summary
- few_studies_adjustment
Character. Description of adjustments made for few studies
- prob_positive
Numeric. Posterior probability that effect is positive
- prob_negative
Numeric. Posterior probability that effect is negative
- heterogeneity
List with heterogeneity statistics (tau2, I2, etc.)
- tau_summary
Data frame with between-study variance summary
- prior_sensitivity
List with prior sensitivity analysis results
- model
The brms model object
- n_studies
Integer number of studies
- effect_measure
Character string for effect measure type
- metadata
List of additional metadata