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 |
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 |
In views: | TeachingStatistics |
CRAN checks: | learnr results |
Reference manual: | learnr.html , learnr.pdf |
Vignettes: |
multilang (source, R code) Publishing learnr Tutorials on shinyapps.io (source, R code) |
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, discovr, drhur |
Reverse imports: | Biostatistics, exams2learnr, r02pro, sortable, sur, tutorial.helpers, WeibullR.learnr |
Reverse suggests: | AquaBEHER, Distributacalcul, genetic.algo.optimizeR, industRial, manynet, medicaldata, normfluodbf, openPrimeR, positron.tutorials, 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.