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rUM: R Templates from the University of Miami

This holds r markdown and quarto templates for academic papers and slide decks. It also has templates to create research projects which contain academic papers as vignettes.

Version: 2.2.0
Depends: R (≥ 4.1.0)
Imports: bookdown, conflicted, dplyr, fs, glue, gtsummary (≥ 2.0.3), here, labelled, lifecycle, purrr, quarto, readr, rio, rlang, rmarkdown, roxygen2, stringr, table1, tidymodels, tidyverse, usethis
Suggests: knitr, testthat (≥ 3.0.0), tinytex
Published: 2025-07-23
DOI: 10.32614/CRAN.package.rUM
Author: Raymond Balise ORCID iD [aut, cre], Gabriel Odom ORCID iD [aut], Kyle Grealis ORCID iD [aut], Francisco Cardozo ORCID iD [aut], Frank Gutierrez ORCID iD [ctb]
Maintainer: Raymond Balise <balise at miami.edu>
BugReports: https://github.com/RaymondBalise/rUM/issues
License: MIT + file LICENSE
URL: https://raymondbalise.github.io/rUM/, https://github.com/RaymondBalise/rUM
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: rUM results

Documentation:

Reference manual: rUM.html , rUM.pdf
Vignettes: 1. Using rUM on Posit.Cloud or with Positron (source, R code)
2. Create a Research Project with Quarto and rUM (source, R code)
3. Create a Research Project with R Markdown and rUM (source, R code)
4. Create a R Markdown File from a rUM Template (source, R code)
5. Make a Package (source, R code)
6. Include an example in the analysis paper outline (source, R code)
7. Customizing Quarto Documents with SCSS (source, R code)
8. Creating Slides from a Template with 'write_slides()' (source, R code)
9. Find and Show Slides in a Package (source, R code)
10. Make Datasets Documentation with write_man() (source, R code)

Downloads:

Package source: rUM_2.2.0.tar.gz
Windows binaries: r-devel: rUM_2.2.0.zip, r-release: rUM_2.2.0.zip, r-oldrel: rUM_2.2.0.zip
macOS binaries: r-release (arm64): rUM_2.1.0.tgz, r-oldrel (arm64): rUM_2.1.0.tgz, r-release (x86_64): rUM_2.2.0.tgz, r-oldrel (x86_64): rUM_2.2.0.tgz
Old sources: rUM archive

Reverse dependencies:

Reverse suggests: public.ctn0094data

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rUM 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.