Approximating Evidence via Bounded Harmonic Means R package ECMLE version 0.1.0 Implements the Elliptical Covering Marginal Likelihood Estimator (ECMLE), a geometric method for approximating marginal likelihood from posterior draws and log-posterior evaluations. The method constructs a collection of non-overlapping ellipsoids in a high-posterior-density region, computes the covered volume, and combines this with posterior sample coverage to estimate model evidence. It is designed to stabilize harmonic-mean-based evidence approximation and can be applied in multimodal settings. The methodology is described in Naderi et al. (2025) <doi:10.48550/arXiv.2510.20617>. Software Depends: R (>= 3.6.0) Imports: IDPmisc, graphics, stats, withr Suggests: testthat (>= 3.0.0), knitr, rmarkdown Dana Naderi <naderi@ceremade.dauphine.fr> Comprehensive R Archive Network (CRAN) Dana Naderi [aut, cre], Christian P. Robert [aut], Kaniav Kamary [aut], Darren Wraith [aut] GPL-3 2026-03-26 application/tgz https://CRAN.R-project.org/package=ECMLE doi:10.32614/CRAN.package.ECMLE