SemNeT: Methods and Measures for Semantic Network Analysis
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), and a function to compute global network measures. Significance tests and plotting features are also implemented.
| Version: |
2.0.0 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
methods, utils, stats, graphics, future, future.apply, progressr, igraph, qgraph, car, broom, effects |
| Suggests: |
testthat (≥ 3.0.0), shiny (≥ 1.8.0), shinyjs, shinyalert, DT, promises, spreadr, shinyMatrix, shinyBS, readxl, foreign, R.matlab, tools, ggplot2 |
| Published: |
2026-09-12 |
| DOI: |
10.32614/CRAN.package.SemNeT |
| Author: |
Alexander P. Christensen
[aut, cre],
Yoed N. Kenett
[aut, ctb] |
| Maintainer: |
Alexander P. Christensen <alexpaulchristensen at gmail.com> |
| BugReports: |
https://github.com/AlexChristensen/SemNeT/issues |
| License: |
GPL (≥ 3.0) |
| URL: |
https://github.com/AlexChristensen/SemNeT |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| In views: |
Psychometrics |
| CRAN checks: |
SemNeT results |
Documentation:
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