metafor::escalc() builds effect-size / sampling-variance data for CAMS.
bayesmeta::traceplot() draws Rubin-style shrinkage-vs-τ diagnostics
(including the traceplot.interactmeta method).
generics::tidy() turns CAMS effect / heterogeneity summaries into tibbles
(see tidy.interactmeta_subgroup_effects and related methods). Tibbles print with
the usual tibble formatting; classed interactmeta_* objects use a compact
biostatistical print() instead.