Package: daiquiri
Type: Package
Title: Data Quality Reporting for Temporal Datasets
Version: 1.2.1
Authors@R: c(
    person(c("T.", "Phuong"), "Quan", email = "phuongquan567@outlook.com",
        role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8566-1817")),
    person("Jack", "Cregan", role = "ctb"),
    person(family = "University of Oxford", role = "cph"),
    person(family = "National Institute for Health Research (NIHR)", role = "fnd"),
    person("Brad", "Cannell", role = "rev")
    )
Description: Generate reports that enable quick visual review of 
    temporal shifts in record-level data. Time series plots showing aggregated 
    values are automatically created for each data field (column) depending on its 
    contents (e.g. min/max/mean values for numeric data, no. of distinct 
    values for categorical data), as well as overviews for missing values, 
    non-conformant values, and duplicated rows. The resulting reports are shareable 
    and can contribute to forming a transparent record of the entire analysis process. 
    It is designed with Electronic Health Records in mind, but can be used for 
    any type of record-level temporal data (i.e. tabular data where each row represents 
    a single "event", one column contains the "event date", and other columns 
    contain any associated values for the event).
URL: https://github.com/ropensci/daiquiri,
        https://ropensci.github.io/daiquiri/
BugReports: https://github.com/ropensci/daiquiri/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table (>= 1.12.8), readr (>= 2.0.0), ggplot2 (>= 3.1.0),
        scales (>= 1.1.0), cowplot (>= 0.9.3), rmarkdown, reactable (>=
        0.2.3), utils, stats, xfun (>= 0.15)
RoxygenNote: 7.3.3
Suggests: covr, knitr, testthat (>= 3.0.0), codemetar, vdiffr, shiny,
        diffviewer
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-10-27 12:00:42 UTC; phuon
Author: T. Phuong Quan [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-8566-1817>),
  Jack Cregan [ctb],
  University of Oxford [cph],
  National Institute for Health Research (NIHR) [fnd],
  Brad Cannell [rev]
Maintainer: T. Phuong Quan <phuongquan567@outlook.com>
Repository: CRAN
Date/Publication: 2025-10-27 14:50:08 UTC
Built: R 4.6.0; ; 2026-04-26 17:29:46 UTC; unix
