Utility Functions for Conducting and Interpreting Meta-Analyses
15 available
Return calibrated estimates of studies' population effect sizes
Calculate variance given confidence interval limit and point estimate
Convert Cohen's d to log risk ratio
Manuscript-friendly confidence interval formatting
Manuscript-friendly number formatting
Parse a string with point estimate and confidence interval
Return sign test p-value for meta-analysis percentile
Estimate proportion of population effect sizes above or below a thresh...
Return sign test point estimate of proportion of effects above or belo...
Convert Pearson's r to Cohen's d
Convert Pearson's r to Fisher's z
Round while keeping trailing zeroes
Convert forest plot or summary table to meta-analytic dataset
Return confidence interval for tau for a meta-analysis
Convert Fisher's z to Pearson's r
Contains functions to estimate the proportion of effects stronger than a threshold of scientific importance (function prop_stronger), to nonparametrically characterize the distribution of effects in a meta-analysis (calib_ests, pct_pval), to make effect size conversions (r_to_d, r_to_z, z_to_r, d_to_logRR), to compute and format inference in a meta-analysis (format_CI, format_stat, tau_CI), to scrape results from existing meta-analyses for re-analysis (scrape_meta, parse_CI_string, ci_to_var).