Creates presentation-ready tables summarizing data sets,
regression models, and more. The code to create the tables is concise
and highly customizable. Data frames can be summarized with any
function, e.g. mean(), median(), even user-written functions.
Regression models are summarized and include the reference rows for
categorical variables. Common regression models, such as logistic
regression and Cox proportional hazards regression, are automatically
identified and the tables are pre-filled with appropriate column
headers.
Version: |
2.0.2 |
Depends: |
R (≥ 4.2) |
Imports: |
cards (≥ 0.2.2), cli (≥ 3.6.1), dplyr (≥ 1.1.3), glue (≥
1.6.2), gt (≥ 0.10.0), lifecycle (≥ 1.0.3), rlang (≥ 1.1.1), tidyr (≥ 1.3.0), vctrs |
Suggests: |
aod (≥ 1.3.3), broom (≥ 1.0.5), broom.helpers (≥ 1.17.0), broom.mixed (≥ 0.2.9), car (≥ 3.0-11), cardx (≥ 0.2.1), cmprsk, effectsize (≥ 0.6.0), emmeans (≥ 1.7.3), flextable (≥ 0.8.1), geepack (≥ 1.3.10), ggstats (≥ 0.2.1), huxtable (≥ 5.4.0), insight (≥ 0.15.0), kableExtra (≥ 1.3.4), knitr (≥ 1.37), lme4 (≥ 1.1-31), mice (≥ 3.10.0), nnet, officer, openxlsx, parameters (≥ 0.20.2), parsnip (≥ 0.1.7), rmarkdown, smd (≥ 0.6.6), survey (≥ 4.2), survival (≥
3.6-4), testthat (≥ 3.2.0), withr (≥ 2.5.0), workflows (≥
0.2.4) |
Published: |
2024-09-05 |
DOI: |
10.32614/CRAN.package.gtsummary |
Author: |
Daniel D. Sjoberg
[aut, cre],
Joseph Larmarange
[aut],
Michael Curry
[aut],
Jessica Lavery
[aut],
Karissa Whiting
[aut],
Emily C. Zabor
[aut],
Xing Bai [ctb],
Esther Drill
[ctb],
Jessica Flynn
[ctb],
Margie Hannum
[ctb],
Stephanie Lobaugh [ctb],
Shannon Pileggi
[ctb],
Amy Tin [ctb],
Gustavo Zapata Wainberg
[ctb] |
Maintainer: |
Daniel D. Sjoberg <danield.sjoberg at gmail.com> |
BugReports: |
https://github.com/ddsjoberg/gtsummary/issues |
License: |
MIT + file LICENSE |
URL: |
https://github.com/ddsjoberg/gtsummary,
https://www.danieldsjoberg.com/gtsummary/ |
NeedsCompilation: |
no |
Language: |
en-US |
Citation: |
gtsummary citation info |
Materials: |
README NEWS |
In views: |
ReproducibleResearch |
CRAN checks: |
gtsummary results |