# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "TidyPanel" in publications use:'
type: software
license: MIT
title: 'TidyPanel: Universal Messy Panel Data Cleaner'
version: 0.1.2
abstract: A robust toolkit designed to standardize and clean complex tabular data
  from commercial enterprise systems, healthcare records, logistics software, and
  HR databases. Features include intelligent regex parsing for domain-specific noise
  (currencies, percentages), gap-based block clustering, and automated messy table
  resolution. Methods draw on tidy data principles described in Wickham (2014) <https://doi.org/10.18637/jss.v059.i10>
  and the 'readxl' parsing infrastructure described in Wickham & Bryan (2023) <https://readxl.tidyverse.org>.
authors:
- family-names: Lu
  given-names: Tony
  email: xulunt123@gmail.com
repository: https://cran.r-universe.dev
commit: 9c732603bb6061579fa695febc0e3f51659e942e
date-released: '2026-05-11'
contact:
- family-names: Lu
  given-names: Tony
  email: xulunt123@gmail.com