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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.
limits_tau(
var_es,
var_pre,
k,
method = c("profile_var_es", "profile_Q", "normal_logQ"),
conf_level = 0.95,
var_unbiased = TRUE
)The confidence limits of tau
The observed variance of effect sizes.
The predicted variance of effect sizes due to artifacts.
The number of studies in a meta-analysis.
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.
Confidence level.
Are variances computed using the unbiased (TRUE) or maximum likelihood (FALSE) estimator?
limits_tau(var_es = 0.008372902, var_pre = 0.004778935, k = 20)
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