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 \(\sigma^{2}_es ~ \chi^{2}(k-1)\), profile_Q for a profile-likelihood interval assuming \(Q ~ \chi^{2}(k-1, \lambda)\), \(\lambda = \sum_{i=1}{k}{w_i(\theta - \bar{\theta})^{2}}\), 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?