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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 (≥ 0.2.0.1), 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

Documentation:

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

Downloads:

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: AquaBEHER, Distributacalcul, genetic.algo.optimizeR, industRial, manynet, medicaldata, normfluodbf, openPrimeR, r4ds.tutorials, rxode2, sageR, shinymgr, SticsRFiles, tidyDenovix, vachette, vegawidget

Linking:

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