Package: memnet
Type: Package
Title: Network Tools for Memory Research
Description: 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/osf.io/s73dp>.
Version: 0.1.0
Maintainer: Dirk U. Wulff <dirk.wulff@gmail.com>
Authors@R: person(c("Dirk","U."), "Wulff", role = c("aut","cre"),
    		email = "dirk.wulff@gmail.com")
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.1.0), Rcpp (>= 0.12.5)
Imports: igraph
LinkingTo: Rcpp, BH
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2018-10-31 07:42:39 UTC; dwulff
Author: Dirk U. Wulff [aut, cre]
Repository: CRAN
Date/Publication: 2018-11-03 16:20:06 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 20:44:53 UTC; windows
Archs: i386, x64
