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causalgenerics  

Shared Generics for the 'r-causal' Ecosystem
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("causalgenerics", "0.1.0")



Attach the package and use:
library("causalgenerics")
Maintained by
Malcolm Barrett
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-08
Latest Update: 2026-08-08
Description:
A home for the S3 generics shared across the 'r-causal' ecosystem, including 'propensity', 'halfmoon', 'positively', and 'balancing'. Owning the generic definitions in one place lets those packages register methods without masking one another when several are attached at once. The generics cover inverse probability weighted estimation, effective sample size, and the metadata carried by causal weight vectors, and the package supplies the abstract causal weight class and the result class those estimates are returned in, together with the methods both classes carry, so that the ecosystem packages inherit them rather than writing their own. The design follows that of the 'generics' package, which provides commonly used S3 generics for the same purpose: letting packages share a single definition instead of each defining its own.
How to cite:
Malcolm Barrett (2026). causalgenerics: Shared Generics for the 'r-causal' Ecosystem. R package version 0.1.0, https://cran.r-project.org/web/packages/causalgenerics. Accessed 04 Oct. 2026.
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Functions, R codes and Examples using the causalgenerics R package
Full causalgenerics package functions and examples
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