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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 "clinCompare" in publications use:'
type: software
license: MIT
title: 'clinCompare: Dataset Comparison with ''CDISC'' Validation for Clinical Trial
  Data'
version: 1.0.0
doi: 10.32614/CRAN.package.clinCompare
abstract: 'A general-purpose toolkit for comparing any two data frames with optional
  ''CDISC'' (Clinical Data Interchange Standards Consortium) validation for clinical
  trial data. Core comparison functions work on arbitrary datasets: variable-level
  and observation-level comparison, data type checking, metadata attribute analysis
  (types, labels, lengths, formats), missing value handling, key-based row matching,
  tolerance-based numeric comparisons, and group-wise comparisons. Optional z-score
  outlier detection is available when enabled. When working with clinical data, the
  package additionally validates ''SDTM'' (Study Data Tabulation Model) and ''ADaM''
  (Analysis Data Model) datasets against CDISC standards (SDTM IG 3.3/3.4, ADaM IG
  1.1/1.2/1.3), automatically detecting domains and flagging non-conformant variables.
  Generates unified comparison reports in text or HTML format with interactive dashboards.
  For CDISC standards, see <https://www.cdisc.org/standards>.'
authors:
- family-names: Lokineni
  given-names: Siddharth
  email: sidhu871@gmail.com
repository: https://siddharthlokineni.r-universe.dev
repository-code: https://github.com/siddharthlokineni/clinCompare
commit: 01dbe741698fbccac12823628b1bdd98d34f7e56
url: https://github.com/siddharthlokineni/clinCompare
date-released: '2026-02-20'
contact:
- family-names: Lokineni
  given-names: Siddharth
  email: sidhu871@gmail.com