Package: dtlg
Title: A Performance-Focused Package for Clinical Trial Tables
Version: 0.1.0
Authors@R: c(
    person(
      given = "Max", family = "Ebenezer-Brown",
      email = "max.ebenezer-brown@acuityanalytics.com",
      role = "aut"
    ),
    person(
      given = "Max", family = "Norman",
      role = "aut"
    ),
    person(
      given = "Xinye", family = "Li",
      email = "xinye.li@acuityanalytics.com",
      role = "aut"
    ),
    person(
      given = "Anja", family = "Peebles-Brown",
      email = "anna.peebles-brown@acuityanalytics.com",
      role = "aut"
    ),
    person(
      given = "Ashley", family = "Baldry",
      email = "ashley.baldry@acuityanalytics.com",
      role = "aut"
    ),    
    person(
      given = "Ramiro", family = "Magno",
      email = "ramiro.morgado@acuityanalytics.com",
      role = c("aut", "cre")
    )
    )
Description: Create high-performance clinical reporting tables (TLGs) from
    ADaM-like inputs. The package provides a consistent, programmatic API
    to generate common tables such as demographics, adverse event incidence,
    and laboratory summaries, using 'data.table' for fast aggregation over
    large populations. Functions support flexible target-variable selection,
    stratification by treatment, and customizable summary statistics, and
    return tidy, machine-readable results ready to render with downstream
    table/formatting packages in analysis pipelines.
License: MIT + file LICENSE
Imports: data.table (>= 1.18.0), vctrs
Suggests: bench, dplyr, kableExtra, rmarkdown, random.cdisc.data,
        rtables, tern, testthat (>= 3.0.0), tidyr, withr
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Config/testthat/edition: 3
Config/Needs/website: rmarkdown, ascentsoftware/ascentdown
LazyData: true
URL: https://AscentSoftware.github.io/dtlg/
BugReports: https://github.com/AscentSoftware/dtlg/issues
NeedsCompilation: no
Packaged: 2026-04-28 11:28:54 UTC; rmagno
Author: Max Ebenezer-Brown [aut],
  Max Norman [aut],
  Xinye Li [aut],
  Anja Peebles-Brown [aut],
  Ashley Baldry [aut],
  Ramiro Magno [aut, cre]
Maintainer: Ramiro Magno <ramiro.morgado@acuityanalytics.com>
Repository: CRAN
Date/Publication: 2026-04-29 09:10:07 UTC
