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:
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