Note that this interval does not incorporate uncertainty in artifact estimates,
so the interval will be somewhat conservative when applied to individual-correction or
artifact-distribution meta-analyses.
The predicted variance of effect sizes due to artifacts.
k
The number of studies in a meta-analysis.
method
Which method to use to estimate the limits. Options are profile_var_es for a profile-likelihood interval assuming ^2_es ~ ^2(k-1)var_es ~ chi-squared (k - 1), profile_Q for a profile-likelihood interval assuming Q ~ ^2(k-1, )Q ~ chi-squared (k - 1, lambda), = _i=1kw_i( - )^2lambda = true_Q = sum(wi * (true_es - mean_true_es)^2), and normal_logQ for a delta method assuming log(Q) follows a standard normal distribution.
conf_level
Confidence level.
var_unbiased
Are variances computed using the unbiased (TRUE) or maximum likelihood (FALSE) estimator?