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: |
0.5.0 |
| 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 |
| 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 gmail.com> |
| License: |
Apache License (≥ 2.0) |
| NeedsCompilation: |
yes |
| Materials: |
README NEWS |
| CRAN checks: |
NetFACS results |
Documentation:
Downloads:
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