Documentation for params common across metabias packages.

Arguments

yi: A vector of point estimates to be meta-analyzed.
vi: A vector of estimated variances (i.e., squared standard errors) for the point estimates.
sei: A vector of estimated standard errors for the point estimates. (Only one of vi or sei needs to be specified).
cluster: Vector of the same length as the number of rows in the data, indicating which cluster each study should be considered part of (defaults to treating studies as independent; i.e., each study is in its own cluster).
favor_positive: TRUE if publication bias are assumed to favor significant positive estimates; FALSE if assumed to favor significant negative estimates.
alpha_select: Alpha level at which an estimate's probability of being favored by publication bias is assumed to change (i.e., the threshold at which study investigators, journal editors, etc., consider an estimate to be significant).
ci_level: Confidence interval level (as proportion) for the corrected point estimate. (The alpha level for inference on the corrected point estimate will be calculated from ci_level.)
small: Should inference allow for a small meta-analysis? We recommend always using TRUE.
selection_ratio: Ratio by which publication bias favors affirmative studies (i.e., studies with p-values less than alpha_select and estimates in the direction indicated by favor_positive).
q: The attenuated value to which to shift the point estimate or CI. Should be specified on the same scale as yi (e.g., if yi is on the log-RR scale, then q should be as well).