Transform RoBMA object into z-curve — as

This function transforms the estimated RoBMA model into a z-curve object that can be further summarized and plotted. Only available for normal-normal models estimated using the spike-and-slab algorithm (i.e., algorithm = "ss"). See Bartoš and Schimmack (2025) and vignette("ZCurveDiagnostics", package = "RoBMA") for more detail.

Usage

as_zcurve(x, significance_level = stats::qnorm(0.975), max_samples = 1000)

Arguments

x: A RoBMA object
significance_level: Significance level used for computation of z-curve estimates.
max_samples: Maximum number of samples from the posterior distribution that will be used for estimating z-curve estimates.

Value

as_zcurve returns a list of tables of class 'zcurve_RoBMA'.

Examples

if (FALSE) { # \dontrun{
# using the example data from Anderson et al. 2010 and fitting the default model
# (note that the model can take a while to fit)
fit <- RoBMA(r = Anderson2010$r, n = Anderson2010$n,
             study_names = Anderson2010$labels, algorithm = "ss")

zcurve_fit <- as_zcurve(fit)
summary(zcurve_fit)
} # }