NetFACS: Network Applications to Facial Communication Data

Functions to analyze and visualize communication data, based on network theory and resampling methods. Farine, D. R. (2017) <doi:10.1111/2041-210X.12772>; Carsey, T., & Harden, J. (2014) <doi:10.4135/9781483319605>. Primarily targeted at datasets of facial expressions coded with the Facial Action Coding System. Ekman, P., Friesen, W. V., & Hager, J. C. (2002). "Facial action coding system - investigator's guide" <https://www.paulekman.com/facial-action-coding-system/>.

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: parallel, doParallel, igraph, ggplot2, ggraph, picante, rlang, Rfast, arrangements
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2021-11-02
Author: Alex Mielke [aut], Bridget M. Waller [ctb], Claire Perez [ctb], Alan V. Rincon [aut, cre], Julie Duboscq [ctb], Jerome Micheletta [ctb]
Maintainer: Alan V. Rincon <avrincon1 at gmail.com>
License: Apache License (≥ 2.0)
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: NetFACS results

Documentation:

Reference manual: NetFACS.pdf
Vignettes: my-vignette

Downloads:

Package source: NetFACS_0.2.0.tar.gz
Windows binaries: r-devel: NetFACS_0.2.0.zip, r-devel-UCRT: NetFACS_0.2.0.zip, r-release: NetFACS_0.2.0.zip, r-oldrel: NetFACS_0.2.0.zip
macOS binaries: r-release (arm64): NetFACS_0.2.0.tgz, r-release (x86_64): NetFACS_0.2.0.tgz, r-oldrel: NetFACS_0.2.0.tgz

Linking:

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