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0.1.2Flexible and General Mediation Analysis Using Riesz Representers
Overview
Implements a modern, unified estimation strategy for common mediation estimands (natural effects, organic effects, interventional effects, and recanting twins) in combination with modified treatment policies as described in Liu, Williams, Rudolph, and Díaz (2024) doi:10.48550/arXiv.2408.14620. Estimation makes use of recent advancements in Riesz-learning to estimate a set of required nuisance parameters with deep learning. The result is the capability to estimate mediation effects with binary, categorical, continuous, or multivariate exposures with high-dimensional mediators and mediator-outcome confounders using machine learning.
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- NOTE2026-03-103 OK · 11 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 50%
- Documented parameters
- 98%
- Return-value docs
- 75%
- References docs
- 0%
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Code & Tests
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3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.2Latest
- 0.1.12024-11-14 · diff ↗
- 0.1.02024-09-18
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-09-18
- Total releases
- 3 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 18 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet