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ForCausality  

A Curated Collection of 'Causal Inference' Datasets and Tools
View on CRAN: Click here


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

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

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



Attach the package and use:
library("ForCausality")
Maintained by
Tomás Valderrama
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-25
Latest Update: 2025-10-25
Description:
Provides a comprehensive set of datasets and tools for 'causal inference' research. The package includes data from clinical trials, cancer studies, epidemiological surveys, environmental exposures, and health-related observational studies. Designed to facilitate causal analysis, risk assessment, and advanced statistical modeling, it leverages datasets from packages such as 'causalOT', 'survival', 'causalPAF', 'evident', 'melt', and 'sanon'. The package is inspired by the foundational work of Pearl (2009) <doi:10.1017/CBO9780511803161> on causal inference frameworks.
How to cite:
Tomás Valderrama (2025). ForCausality: A Curated Collection of 'Causal Inference' Datasets and Tools. R package version 0.1.0, https://cran.r-project.org/web/packages/ForCausality. Accessed 06 Aug. 2026.
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Complete documentation for ForCausality
Functions, R codes and Examples using the ForCausality R package
Full ForCausality package functions and examples
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