person("Sean", "Kross", email = "sean@seankross.com", role = c("aut", "cre")),
person("John", "Muschelli", role = "ctb")
Description: 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
Imports: aws.polly, tuneR, webshot, purrr, rmarkdown, xml2, rvest,

Imports: text2speech (>= 0.2.4), tuneR, webshot, purrr, rmarkdown,
Suggests: testthat, grDevices, xaringan, aws.signature, aws.polly

Suggests: testthat, grDevices, xaringan, aws.signature, aws.polly,

Imports: text2speech (>= 0.2.8), tuneR, webshot, purrr, rmarkdown,

Suggests: testthat, grDevices, xaringan, knitr

Title: Tools for Creating Automated Courses
Description: Leverages the 'ari' package and other tools to create automated
courses from slides and a script.  Also, uploads these to
'YouTube' and other services using 'tuber' package.
Authors@R: c(person(given = "John",family = "Muschelli",
Imports: xml2, httr, utils, ari (>= 0.2.3), rmarkdown, pdftools, rvest,
magrittr, mime, tools, stats, jsonlite, text2speech (>= 0.2.8),
Suggests: knitr, covr, testthat, pagedown, webshot, rstudioapi,
Packaged: 2020-07-17 19:21:43 UTC; johnmuschelli
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)

Packaged: 2020-07-20 13:12:51 UTC; johnmuschelli

Packaged: 2020-07-01 21:40:56 UTC; johnmuschelli

Packaged: 2020-07-06 15:31:54 UTC; johnmuschelli

Packaged: 2021-06-22 18:13:47 UTC; johnmuschelli

Title: Efficient Computations of Standard Clustering Comparison
person("Guillem", "Rigaill", role = "aut", email = "guillem.rigaill@inra.fr"),
person("Valentin", "Dervieux", role = "ctb", email = "valentin.dervieux@gmail.com")
Description: Implements an efficient O(n) algorithm based on bucket-sorting for
fast computation of standard clustering comparison measures. Available measures
include adjusted Rand index (ARI), normalized information distance (NID),
normalized mutual information (NMI), normalized variation information (NVI) and