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ari: Automated R Instructor

Create videos from 'R Markdown' documents, or images and audio files. These images can come from image files or HTML slides, and the audio files can be provided by the user or computer voice narration can be created using 'Amazon Polly'. The purpose of this package is to allow users to create accessible, translatable, and reproducible lecture videos. See <https://aws.amazon.com/polly/> for more information.

Version: 0.3.5
Depends: R (≥ 3.1.0)
Imports: text2speech (≥ 0.2.8), tuneR, webshot, purrr, rmarkdown, xml2, rvest, tools, progress, hms
Suggests: testthat, grDevices, xaringan, knitr
Published: 2020-02-08
DOI: 10.32614/CRAN.package.ari
Author: Sean Kross [aut, cre], John Muschelli [ctb]
Maintainer: Sean Kross <sean at seankross.com>
BugReports: http://github.com/seankross/ari/issues
License: MIT + file LICENSE
URL: http://github.com/seankross/ari
NeedsCompilation: no
SystemRequirements: ffmpeg (>= 3.2.4)
Materials: README NEWS
CRAN checks: ari results

Documentation:

Reference manual: ari.pdf
Vignettes: Simple-Ari-Configuration-with-Docker

Downloads:

Package source: ari_0.3.5.tar.gz
Windows binaries: r-devel: ari_0.3.5.zip, r-release: ari_0.3.5.zip, r-oldrel: ari_0.3.5.zip
macOS binaries: r-release (arm64): ari_0.3.5.tgz, r-oldrel (arm64): ari_0.3.5.tgz, r-release (x86_64): ari_0.3.5.tgz, r-oldrel (x86_64): ari_0.3.5.tgz
Old sources: ari archive

Reverse dependencies:

Reverse imports: dynaSpec

Linking:

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