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 |
| 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-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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