scrape_meta: Convert forest plot or summary table to meta-analytic dataset
In ConfoundedMeta: Sensitivity Analyses for Unmeasured Confounding in Meta-Analyses

Given relative risks (RR) and upper bounds of 95% confidence intervals (CI) from a forest plot or summary table, returns a dataframe ready for meta-analysis (e.g., via the metafor package) with the log-RRs and their variances. Optionally, the user may indicate studies for which the point estimate is to be interpreted as an odds ratios of a common outcome rather than a relative risk; for such studies, the function applies VanderWeele (2017)'s square-root transformation to convert the odds ratio to an approximate risk ratio.

1	scrape_meta(.type = "RR", .est, .hi, .sqrt = FALSE)

`.type`	`RR` if point estimates are RRs or ORs (to be handled on log scale); `raw` if point estimates are raw differences, standardized mean differences, etc. (such that they can be handled with no transformations)
`.est`	Vector of study point estimates on RR or OR scale
`.hi`	Vector of upper bounds of 95% CIs on RRs
`.sqrt`	Vector of booleans (TRUE/FALSE) for whether each study measured an odds ratio of a common outcome that should be approximated as a risk ratio via the square-root transformation