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crumble  

Flexible and General Mediation Analysis Using Riesz Representers
View on CRAN: Click here


Download and install crumble package within the R console
Install from CRAN:
install.packages("crumble")

Install from Github:
library("remotes")
install_github("cran/crumble")

Install by package version:
library("remotes")
install_version("crumble", "0.1.2")



Attach the package and use:
library("crumble")
Maintained by
Nicholas Williams
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-18
Latest Update: 2024-12-02
Description:
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.
How to cite:
Nicholas Williams (2024). crumble: Flexible and General Mediation Analysis Using Riesz Representers. R package version 0.1.2, https://cran.r-project.org/web/packages/crumble. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:29), 0.1.0 (2024-09-18 13:50), 0.1.1 (2024-11-14 22:00)
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Complete documentation for crumble
Functions, R codes and Examples using the crumble R package
Full crumble package functions and examples
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