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crumble
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", "0.1.0")
Attach the package and use:
library("crumble")
Maintained by
Nicholas Williams
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
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First Published: 2024-09-18
Latest Update: 2024-09-18
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 0.1.0, https://cran.r-project.org/web/packages/crumble. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2024-09-18 13:50)
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