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>.

Version: 0.1.0
Depends: Rcpp (≥ 0.12.5)
Imports: igraph, extrafont, ggplot2
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
Published: 2018-11-19
Author: Cynthia Siew [aut, cre], Dirk U. Wulff [ctb]
Maintainer: Cynthia Siew <cynsiewsq at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: spreadr results

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Reference manual: spreadr.pdf
Vignettes: Vignette Title
Package source: spreadr_0.1.0.tar.gz
Windows binaries: r-devel: spreadr_0.1.0.zip, r-devel-gcc8: spreadr_0.1.0.zip, r-release: spreadr_0.1.0.zip, r-oldrel: spreadr_0.1.0.zip
OS X binaries: r-release: spreadr_0.1.0.tgz, r-oldrel: spreadr_0.1.0.tgz

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