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spreadr
View on CRAN: Click
here
Download and install spreadr package within the R console
Install from CRAN:
install.packages("spreadr")
Install from Github:
library("remotes")
install_github("cran/spreadr") Install by package version:
library("remotes")
install_version("spreadr", "0.2.0") Attach the package and use:
library("spreadr")
Maintained by
Cynthia Siew
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-19
Latest Update: 2021-05-11
Description:
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>.
How to cite:
Cynthia Siew (2018). spreadr: Simulating Spreading Activation in a Network. R package version 0.2.0, https://cran.r-project.org/web/packages/spreadr. Accessed 04 Jun. 2026.
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Complete documentation for spreadr
Functions, R codes and Examples using
the spreadr R package
Some associated functions: pnet . pnetm . spreadr .
Some associated R codes: RcppExports.R . data.R . spreadr.R . Full spreadr package functions and examples
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