Package: dils
Type: Package
Title: Data-Informed Link Strength. Combine multiple-relationship
        networks into a single weighted network. Impute (fill-in)
        missing network links.
Version: 0.8.1
Date: 2013-11-25
Author: Stephen R. Haptonstahl
Maintainer: Stephen R. Haptonstahl <srh@haptonstahl.org>
Depends: R (>= 3.0.1), igraph, Rcpp (>= 0.10.4)
LinkingTo: Rcpp
Suggests: testthat, Matrix
Description: 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).
License: MIT + file LICENSE
Collate: 'GetSampleFromDataFrame.R' 'RelationStrengthSimilarity.R'
        'ScalablePCA.R' 'GetSampleFromFile.R' 'GetSampleFromDb.R'
        'RssCell.R' 'RssThisRadius.R' 'EdgelistFill.R'
        'EdgelistFromAdjacency.R' 'EdgelistFromIgraph.R'
        'GenerateDilsNetwork.R' 'MergeEdgelists.R'
        'AdjacencyFromEdgelist.R' 'IgraphFromEdgelist.R'
        'MeasureNetworkInformation.R' 'RssSuggestedNetwork.R'
        'RelativeNetworkInformation.R'
Packaged: 2013-11-25 20:06:33 UTC; Steve
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-11-25 21:23:02
Built: R 3.1.0; x86_64-apple-darwin10.8.0; 2013-11-27 02:40:49 UTC; unix
Archs: dils.so.dSYM
