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Visualisation, analysis and quality control of conversational data. Rapid and visual insights into the nature, timing and quality of time-aligned annotations in conversational corpora. For more details, see Dingemanse et al., (2022) <doi:10.18653/v1/2022.acl-long.385>.
Version: | 0.1.3 |
Depends: | R (≥ 3.5.0) |
Imports: | cowplot, dplyr, ggplot2, ggthemes, knitr, stats, stringr, tidyr, tidyselect |
Suggests: | rmarkdown, testthat (≥ 3.0.0), pkgdown, ggrepel, utils |
Published: | 2024-11-19 |
DOI: | 10.32614/CRAN.package.talkr |
Author: | Mark Dingemanse [aut, cre], Barbara Vreede [aut], Eva Viviani [aut], Pablo Rodríguez-Sánchez [aut], Andreas Liesenfeld [ctb], Netherlands eScience Center [cph, fnd] |
Maintainer: | Mark Dingemanse <mark.dingemanse at ru.nl> |
License: | Apache License (≥ 2) |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | talkr results |
Reference manual: | talkr.pdf |
Vignettes: |
workflow (source, R code) |
Package source: | talkr_0.1.3.tar.gz |
Windows binaries: | r-devel: talkr_0.1.3.zip, r-release: not available, r-oldrel: talkr_0.1.3.zip |
macOS binaries: | r-release (arm64): talkr_0.1.3.tgz, r-oldrel (arm64): talkr_0.1.3.tgz, r-release (x86_64): talkr_0.1.3.tgz, r-oldrel (x86_64): talkr_0.1.3.tgz |
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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.