learnr: Interactive Tutorials for R

Create interactive tutorials using R Markdown. Use a combination of narrative, figures, videos, exercises, and quizzes to create self-paced tutorials for learning about R and R packages.

Version: 0.11.5
Imports: checkmate, digest, ellipsis (≥, evaluate, htmltools (≥ 0.3.5), htmlwidgets, jsonlite, knitr (≥ 1.31), lifecycle, markdown (≥ 1.3), parallel, promises, rappdirs, renv (≥ 0.8.0), rlang, rmarkdown (≥ 1.12.0), rprojroot, shiny (≥ 1.0), stats, utils, withr
Suggests: bslib, callr, curl, DBI (≥ 0.4-1), httpuv, later, reticulate, RSQLite, rstudioapi (≥ 0.11), shinytest2, sortable, testthat (≥ 3.0.3)
Published: 2023-09-28
DOI: 10.32614/CRAN.package.learnr
Author: Garrick Aden-Buie ORCID iD [aut, cre], Barret Schloerke ORCID iD [aut], JJ Allaire [aut, ccp], Alexander Rossell Hayes ORCID iD [aut], Nischal Shrestha ORCID iD [ctb], Angela Li [ctb] (vignette), Posit, PBC [cph, fnd], Ajax.org B.V. [ctb, cph] (Ace library), Zeno Rocha [ctb, cph] (clipboard.js library), Nick Payne [ctb, cph] (Bootbox library), Jake Archibald [ctb, cph] (idb-keyval library), i18next authors [ctb, cph] (i18next library)
Maintainer: Garrick Aden-Buie <garrick at posit.co>
BugReports: https://github.com/rstudio/learnr/issues
License: Apache License (≥ 2.0)
URL: https://rstudio.github.io/learnr/, https://github.com/rstudio/learnr
NeedsCompilation: no
SystemRequirements: pandoc (>= 1.14) - http://pandoc.org
Materials: NEWS
CRAN checks: learnr results


Reference manual: learnr.pdf
Vignettes: multilang
Publishing learnr Tutorials on shinyapps.io


Package source: learnr_0.11.5.tar.gz
Windows binaries: r-devel: learnr_0.11.5.zip, r-release: learnr_0.11.5.zip, r-oldrel: learnr_0.11.5.zip
macOS binaries: r-release (arm64): learnr_0.11.5.tgz, r-oldrel (arm64): learnr_0.11.5.tgz, r-release (x86_64): learnr_0.11.5.tgz, r-oldrel (x86_64): learnr_0.11.5.tgz
Old sources: learnr archive

Reverse dependencies:

Reverse depends: adventr, drhur
Reverse imports: Biostatistics, exams2learnr, r02pro, sortable, sur, tutorial.helpers, WeibullR.learnr
Reverse suggests: Distributacalcul, industRial, manynet, medicaldata, normfluodbf, openPrimeR, r4ds.tutorials, rxode2, sageR, shinymgr, SticsRFiles, tidyDenovix, vegawidget


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