SemNeT: Methods and Measures for Semantic Network Analysis (original) (raw)
Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Version: | 1.4.4 |
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Depends: | R (≥ 3.6.0) |
Imports: | pbapply, dplyr, plyr, magrittr, ggplot2, igraph, qgraph, scales, car, broom, effects, methods, philentropy |
Suggests: | shiny, shinyjs, shinyalert, shinyMatrix, shinyBS, spreadr, animation, R.matlab, foreign, readxl, data.table, NetworkToolbox, SemNetCleaner, SemNetDictionaries |
Published: | 2023-08-12 |
DOI: | 10.32614/CRAN.package.SemNeT |
Author: | Alexander P. Christensen [aut, cre], Yoed N. Kenett [aut, ctb] |
Maintainer: | Alexander P. Christensen |
BugReports: | https://github.com/AlexChristensen/SemNeT/issues |
License: | GPL (≥ 3.0) |
URL: | https://github.com/AlexChristensen/SemNeT |
NeedsCompilation: | no |
Citation: | SemNeT citation info |
Materials: | |
CRAN checks: | SemNeT results |
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