Package: spreadr 0.2.0

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>.

Authors:Cynthia Siew [aut, cre], Dirk U. Wulff [ctb], Ning Yuan Lee [ctb]

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Bug tracker:https://github.com/csqsiew/spreadr/issues

On CRAN:

1 exports 8 stars 1.66 score 32 dependencies 1 mentions 10 scripts 1.4k downloads

Last updated 1 years agofrom:c5b09431c7. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:spreadr

Dependencies:assertthatclicolorspacecpp11fansifarverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr