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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 [aut, cre], Barret Schloerke [aut], JJ Allaire [aut, ccp], Alexander Rossell Hayes [aut], Nischal Shrestha [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 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 |
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.