CRAN/E | spreadr

spreadr

Simulating Spreading Activation in a Network

Installation

About

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.

Key Metrics

Version 0.2.0
R ≥ 2.10
Published 2021-05-11 1081 days ago
Needs compilation? yes
License GPL-3
CRAN checks spreadr results

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Maintainer

Maintainer

Cynthia Siew

cynsiewsq@gmail.com

Authors

Cynthia Siew

aut / cre

Dirk U. Wulff

ctb

Ning Yuan Lee

ctb

Material

NEWS
Reference manual
Package source

Vignettes

Introduction

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

spreadr archive

Depends

Rcpp ≥ 0.12.5
R ≥ 2.10

Imports

Matrix
assertthat
igraph
extrafont
ggplot2

Suggests

dplyr
fs
gganimate
ggraph
gifski
knitr
rmarkdown
testthat ≥ 3.0.0

LinkingTo

Rcpp

Reverse Suggests

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