Summary of external control meta-analysis using JAGS — summary.ecmeta

Summary statistics for a meta-analytic model fit using ecmeta() with method == "jags".

# S3 method for ecmeta_jags
summary(object, quantiles = c(0.025, 0.25, 0.5, 0.75, 0.975), ...)

Arguments

object	An `ecmeta_jags` object.
quantiles	A vector of quantiles to evaluate for each variable.
...	Additional arguments to pass to `coda::summary.mcmc.list()`.

Value

A data.frame with one row for each parameter (mu and sigma). The columns contain the same summary statistics and quantiles as in coda::summary.mcmc.list(). Statistics reported are the mean (mean), standard deviation (sd), naive (ignoring autocorrelation of the chain) standard error of the mean (se_mean), and time-series standard error based on an estimate of the spectral density at 0 (se_ts). Additional columns contain quantiles of the distribution as specified by quantiles. Finally, if multiple chains were used, the column rhat is included, which is the R-hat convergence diagnostic (values substantially above 1 indicate a lack of convergence).