Package: TidyPanel
Title: Universal Messy Panel Data Cleaner
Version: 0.1.2
Authors@R: person("Tony", "Lu", email = "xulunt123@gmail.com", role = c("aut", "cre"))
Description: 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)
    <doi:10.18637/jss.v059.i10> and the 'readxl' parsing infrastructure described in
    Wickham & Bryan (2023) <https://readxl.tidyverse.org>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: dplyr, stringr, readxl
Suggests: knitr, rmarkdown, testthat, writexl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 03:35:31 UTC; TonyL
Author: Tony Lu [aut, cre]
Maintainer: Tony Lu <xulunt123@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-11 19:00:09 UTC
Built: R 4.6.0; ; 2026-05-11 19:37:25 UTC; unix
