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# CITATION.cff 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 "smartcor" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'smartcor: Automatic Correlation Method Selection Based on Variable Types'
version: 1.0.1
doi: 10.48550/arXiv.2607.22285
identifiers:
- type: doi
  value: 10.32614/CRAN.package.smartcor
abstract: Detects variable types (continuous, count, binary, ordinal, categorical)
  and selects the appropriate correlation method for each pair. Supports Pearson,
  Spearman, Kendall's tau, point-biserial, rank-biserial, phi, tetrachoric, polychoric,
  polyserial, Cramer's V, Tschuprow's T, Theil's U, Yule's Q, and Goodman-Kruskal's
  gamma, each with a confidence interval and p-value. Explains the selection rationale
  in the output, follows tidy data principles, and works in both interactive and scripted
  workflows. The methodology is described in Harshvardhan and Ranjan (2026) <https://doi.org/10.48550/arXiv.2607.22285>.
authors:
- family-names: Harshvardhan
  given-names: M.
  email: harshvardhan@aus.edu
- family-names: Ranjan
  given-names: Pritam
  email: pritamr@iimidr.ac.in
preferred-citation:
  type: generic
  title: 'smartcor: Intelligent Correlation Method Selection for Mixed Variable Types'
  authors:
  - family-names: Harshvardhan
    given-names: M.
    email: harshvardhan@aus.edu
  - family-names: Ranjan
    given-names: Pritam
    email: pritamr@iimidr.ac.in
  year: '2026'
  notes: arXiv:2607.22285
  doi: 10.48550/arXiv.2607.22285
  url: https://arxiv.org/abs/2607.22285
repository: https://harshvardhaniimi.r-universe.dev
repository-code: https://github.com/harshvardhaniimi/smartcor
commit: fd401729cfc9c47afb563fa8b44dd9923b84ad38
url: https://harshvardhaniimi.github.io/smartcor/
date-released: '2026-08-17'
contact:
- family-names: Harshvardhan
  given-names: M.
  email: harshvardhan@aus.edu