memnet: Network Tools for Memory Research

Efficient implementations of network science tools to facilitate research into human (semantic) memory. In its current version, the package contains several methods to infer networks from verbal fluency data, various network growth models, diverse (switcher-) random walk processes, and tools to analyze and visualize networks. To deliver maximum performance the majority of the code is written in C++. For an application see: Wulff, D. U., Hills, T., & Mata, R. (2018) <doi:10.31234/>.

Version: 0.1.0
Depends: R (≥ 3.1.0), Rcpp (≥ 0.12.5)
Imports: igraph
LinkingTo: Rcpp, BH
Suggests: knitr, rmarkdown
Published: 2018-11-03
Author: Dirk U. Wulff [aut, cre]
Maintainer: Dirk U. Wulff <dirk.wulff at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: memnet results


Reference manual: memnet.pdf
Vignettes: Vignette Title
Package source: memnet_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: memnet_0.1.0.tgz, r-oldrel: memnet_0.1.0.tgz


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