calibrate_meta_analytic {RoBSA} | R Documentation |
Create meta-analytic predictive prior distributions
Description
Calibrates prior distributions for parametric survival analysis based on historical data. Returns a list of prior distribution for the intercepts and auxiliary parameters.
Usage
calibrate_meta_analytic(
datasets,
distributions = c("exp-aft", "weibull-aft", "lnorm-aft", "llogis-aft", "gamma-aft"),
prior_mu = prior("cauchy", parameters = list(location = 0, scale = 100)),
prior_tau = prior("cauchy", parameters = list(location = 0, scale = 10), truncation =
list(0, Inf)),
...
)
Arguments
datasets |
list of data.frames containing the historical
data. Each data.frame must contain a column named |
distributions |
vector of parametric families for which prior distributions ought to be calibrated |
prior_mu |
prior distribution for the the meta-analytic mean parameter |
prior_tau |
prior distribution for the the meta-analytic heterogeneity parameter |
... |
additional parameters to be passed to the meta-analytic function. See BayesTools::JAGS_fit for more details. |
Value
returns a list of prior distribution for the intercepts and auxiliary parameters.