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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "kernR" in publications use:'
type: software
license: MIT
title: 'kernR: Kernel-Based Causal Distributional Testing'
version: 0.7.0.9000
doi: 10.32614/CRAN.package.kernR
abstract: Kernel-based hypothesis tests for causal inference and distributional treatment
  effects. Implements backdoor-adjusted HSIC (bd-HSIC) for testing causal association,
  and doubly robust kernel statistics (DR-DATE, DR-DETT) for testing distributional
  treatment effects beyond mean shifts. Supports binary, continuous, and mixed treatments,
  hierarchical/nested data structures, and scales to large datasets via Nystrom approximation
  and random Fourier features. This package depends on 'PESTO' (GPL (>= 3)); kernR's
  own sources are released under the MIT licence, but the installed combination with
  'PESTO' is a combined work subject to the terms of the GPL (>= 3).
authors:
- family-names: Moldovan
  given-names: Max
  email: max.moldovan@adelaide.edu.au
  orcid: https://orcid.org/0000-0001-9680-8474
repository: https://max578.r-universe.dev
repository-code: https://github.com/max578/kernR
commit: 0b7ac899935e81f89518c0522cf5439b3de8a0c2
url: https://max578.github.io/kernR
date-released: '2026-06-03'
contact:
- family-names: Moldovan
  given-names: Max
  email: max.moldovan@adelaide.edu.au
  orcid: https://orcid.org/0000-0001-9680-8474