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" <>.

Version: 0.5.0
Depends: R (≥ 3.5.0)
Imports: arrangements, doParallel, dplyr, igraph, ggplot2, ggraph, magrittr, patchwork, parallel, picante, rlang, Rfast, tibble, tidygraph, tidyr, vctrs, methods
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2022-12-06
DOI: 10.32614/CRAN.package.NetFACS
Author: Alex Mielke [aut], Bridget M. Waller [aut], Claire Perez [aut], Alan V. Rincon [aut, cre], Julie Duboscq [aut], Jerome Micheletta [aut]
Maintainer: Alan V. Rincon <avrincon1 at>
License: Apache License (≥ 2.0)
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: NetFACS results


Reference manual: NetFACS.pdf
Vignettes: netfacs_tutorial


Package source: NetFACS_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): NetFACS_0.5.0.tgz, r-oldrel (arm64): NetFACS_0.5.0.tgz, r-release (x86_64): NetFACS_0.5.0.tgz, r-oldrel (x86_64): NetFACS_0.5.0.tgz
Old sources: NetFACS archive


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