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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 <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 |
| 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 |
| 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: |
no |
| Citation: |
SemNeT citation info |
| Materials: |
NEWS |
| CRAN checks: |
SemNeT results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=SemNeT
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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