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dtlg: A Performance-Focused Package for Clinical Trial Tables

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.

Version: 0.0.2
Depends: R (≥ 4.1.0)
Imports: data.table, vctrs
Suggests: dplyr, random.cdisc.data, rmarkdown, tern, kableExtra, testthat (≥ 3.0.0), bench, tidyr, rtables, dtlg.data (≥ 0.2.0), withr
Published: 2025-09-23
DOI: 10.32614/CRAN.package.dtlg
Author: Max Ebenezer-Brown [aut], Max Norman [aut], Xinye Li [aut], Anja Peebles-Brown [aut], Ramiro Magno [aut, cre]
Maintainer: Ramiro Magno <ramiro.morgado at ascent.io>
License: MIT + file LICENSE
URL: https://AscentSoftware.github.io/dtlg/
NeedsCompilation: no
Additional_repositories: https://ascentsoftware.r-universe.dev
Materials: README, NEWS
CRAN checks: dtlg results

Documentation:

Reference manual: dtlg.html , dtlg.pdf

Downloads:

Package source: dtlg_0.0.2.tar.gz
Windows binaries: r-devel: dtlg_0.0.2.zip, r-release: dtlg_0.0.2.zip, r-oldrel: dtlg_0.0.2.zip
macOS binaries: r-release (arm64): dtlg_0.0.2.tgz, r-oldrel (arm64): dtlg_0.0.2.tgz, r-release (x86_64): dtlg_0.0.2.tgz, r-oldrel (x86_64): dtlg_0.0.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dtlg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.