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spreadr: Simulating Spreading Activation in a Network

The notion of spreading activation is a prevalent metaphor in the cognitive sciences. This package provides the tools for cognitive scientists and psychologists to conduct computer simulations that implement spreading activation in a network representation. The algorithmic method implemented in 'spreadr' subroutines follows the approach described in Vitevitch, Ercal, and Adagarla (2011, Frontiers), who viewed activation as a fixed cognitive resource that could spread among nodes that were connected to each other via edges or connections (i.e., a network). See Vitevitch, M. S., Ercal, G., & Adagarla, B. (2011). Simulating retrieval from a highly clustered network: Implications for spoken word recognition. Frontiers in Psychology, 2, 369. <doi:10.3389/fpsyg.2011.00369> and Siew, C. S. Q. (2019). spreadr: A R package to simulate spreading activation in a network. Behavior Research Methods, 51, 910-929. <doi:10.3758/s13428-018-1186-5>.

Version: 0.2.0
Depends: Rcpp (≥ 0.12.5), R (≥ 2.10)
Imports: Matrix, assertthat, igraph, extrafont, ggplot2
LinkingTo: Rcpp
Suggests: dplyr, fs, gganimate, ggraph, gifski, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2021-05-11
DOI: 10.32614/CRAN.package.spreadr
Author: Cynthia Siew [aut, cre], Dirk U. Wulff [ctb], Ning Yuan Lee [ctb]
Maintainer: Cynthia Siew <cynsiewsq at gmail.com>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: spreadr results

Documentation:

Reference manual: spreadr.pdf
Vignettes: Introduction

Downloads:

Package source: spreadr_0.2.0.tar.gz
Windows binaries: r-devel: spreadr_0.2.0.zip, r-release: spreadr_0.2.0.zip, r-oldrel: spreadr_0.2.0.zip
macOS binaries: r-release (arm64): spreadr_0.2.0.tgz, r-oldrel (arm64): spreadr_0.2.0.tgz, r-release (x86_64): spreadr_0.2.0.tgz, r-oldrel (x86_64): spreadr_0.2.0.tgz
Old sources: spreadr archive

Reverse dependencies:

Reverse suggests: SemNeT

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spreadr to link to this page.

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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