Testing Equality of Natural Mediation Effects and Their Randomized Interventional Analogues R package ria.test version 0.2.1 Implements the empirical test introduced by Yu, Ge, and Elwert (2026) for detecting when randomized interventional analogues should not be interpreted as natural mediation effects. The package estimates natural effects, their randomized interventional analogues, and TE - TE^R, the difference between the total effect and its randomized interventional analogue. Rejecting TE - TE^R = 0 falsifies the composite null that the natural indirect and direct effects equal their randomized interventional analogues. The procedure remains valid in settings where the natural effects themselves are not identified, and |TE - TE^R| provides a lower bound on the total divergence between the natural and randomized interventional decompositions. Software Depends: R (>= 4.2.0) Imports: checkmate, Matrix, origami, torch, Rsymphony, purrr, cli, S7, data.table, coro, generics, mlr3superlearner, progressr, ife (>= 0.2.1) Suggests: testthat (>= 3.0.0) Ang Yu <ang_yu@outlook.com> Comprehensive R Archive Network (CRAN) Ang Yu [aut, cre, cph] (Author and copyright holder of ria.test-specific extensions), Nicholas Williams [aut, cph] (ORCID: <https://orcid.org/0000-0002-1378-4831>, Author and copyright holder of code derived from crumble), Richard Liu [ctb] (Contributor to code derived from crumble), Iván Díaz [aut, cph] (ORCID: <https://orcid.org/0000-0001-9056-2047>, Author and copyright holder of code derived from crumble) GPL (>= 3) 2026-07-21 application/tgz https://CRAN.R-project.org/package=ria.test doi:10.32614/CRAN.package.ria.test