The package separates exploration from strict quantitative synthesis.
library(imedR)
db <- imed_data()
audit <- imed_validation_report(db)
x <- imed_analysis_set(db, comparability_class="CMP-W-VOL")
imed_check_comparability(x)
imed_meta_eligibility(x)
# Only if eligibility succeeds:
fit <- imed_meta_mean(x)
imed_results_table(fit)
imed_leave_one_out(x)
imed_forest(fit)
imed_funnel(fit)
# Moderator analysis is guarded by independent-effect count.
# imed_meta_regression(x, moderators=c("Year"))A failed eligibility check is not an inconvenience to bypass: it is evidence that the proposed synthesis requires redesign, stratification, additional uncertainty information, or a dependence-aware model.