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ria.test: Testing Equality of Natural Mediation Effects and Their
Randomized Interventional Analogues
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.
| Version: |
0.2.1 |
| 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) |
| Published: |
2026-07-21 |
| DOI: |
10.32614/CRAN.package.ria.test (may not be active yet) |
| Author: |
Ang Yu [aut, cre, cph] (Author and copyright holder of
ria.test-specific extensions),
Nicholas Williams 
[aut, cph] (Author and copyright holder of code derived from
crumble),
Richard Liu [ctb] (Contributor to code derived from crumble),
Iván Díaz [aut,
cph] (Author and copyright holder of code derived from crumble) |
| Maintainer: |
Ang Yu <ang_yu at outlook.com> |
| BugReports: |
https://github.com/ang-yu/ria.test/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/ang-yu/ria.test |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
ria.test results |
Documentation:
Downloads:
Linking:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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