Combine multiple-relationship networks into a single weighted network. The approach is similar to factor analysis in the that contribution from each constituent network varies so as to maximize the information gleaned from the multiple-relationship networks. This implementation uses Principal Component Analysis calculated using 'prcomp' with bootstrap subsampling. Missing links are imputed using the method of Chen et al. (2012).

Documentation

Manual: dils.pdf
Vignette: None available.

Maintainer: Stephen R. Haptonstahl <srh at haptonstahl.org>

Author(s): Stephen R. Haptonstahl

Install package and any missing dependencies by running this line in your R console:

install.packages("dils")

Depends R (>= 3.0.1), igraph, Rcpp(>=0.10.4)
Imports
Suggests testthat, Matrix
Enhances
Linking to Rcpp
Reverse
depends
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package dils
Materials
URL
Task Views
Version 0.8.1
Published 2013-11-25
License MIT + file LICENSE
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks dils check results
Package source dils_0.8.1.tar.gz