Computation of heterogeneity indices from meta-analytic results
.heterogeneity(mean_es, var_es, var_pre, var_res, var_e = NA,
var_art = NA, wt_vec, N, k, es_vec, vare_vec, es_failsafe = NULL,
conf_level = 0.95, es_type = "es", wt_type, ma_method, var_unbiased,
var_res_ci_method)The mean effect size.
The observed variances of effect sizes.
The total predicted variance of effect sizes due to sampling error and other artifacts.
The estimated residual variance of effect sizes.
The predicted variance of effect sizes due to sampling error.
The predicted variance of effect sizes predicted from other artifacts.
The vector of weights used in the meta-analysis.
The total sample size of the meta-analysis.
The number of effect sizes included in the meta-analysis.
The vector of effect sizes used in the meta-analysis.
The vector of sampling-error variances used in the meta-analysis.
Failsafe value of the effect size for use in file-drawer analyses.
Confidence level to define the width of the confidence interval (default = .95).
Name of effect-size type.
Weighting method.
What artifact correction method is used. Options are "bb", "ic", and "ad".
Are variances calculated using the unbiased (`TRUE`) or maximum likelihood (`FALSE`) estimator?
Method to use to estimate a confidence interval for `var_res`. See heterogeneity for details.
A list of heterogeneity statistics.