# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "ForCausality" in publications use:'
type: software
license: GPL-3.0-only
title: 'ForCausality: A Curated Collection of ''Causal Inference'' Datasets and Tools'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ForCausality
abstract: 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) <https://doi.org/10.1017/CBO9780511803161> on causal inference frameworks.
authors:
- family-names: Valderrama
  given-names: Tomás
  email: tomasvm2004@gmail.com
preferred-citation:
  type: manual
  title: 'ForCausality: A Curated Collection of Causal Inference Datasets and Tools'
  authors:
  - family-names: Valderrama
    given-names: Tomás
    email: tomasvm2004@gmail.com
  year: '2025'
  notes: R package version 0.1.0
  url: https://github.com/Toby-codigos/ForCausality
repository: https://toby-codigos.r-universe.dev
repository-code: https://github.com/Toby-codigos/ForCausality
commit: 85b1e7537b9510485188ae2806e80a6e74afc5a4
url: https://toby-codigos.github.io/ForCausality/
date-released: '2025-10-22'
contact:
- family-names: Valderrama
  given-names: Tomás
  email: tomasvm2004@gmail.com