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).
| Version: | 0.8.1 |
| Depends: | R (≥ 3.0.1), igraph, Rcpp (≥ 0.10.4) |
| LinkingTo: | Rcpp |
| Suggests: | testthat, Matrix |
| Published: | 2013-11-25 |
| Author: | Stephen R. Haptonstahl |
| Maintainer: | Stephen R. Haptonstahl <srh at haptonstahl.org> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Citation: | dils citation info |
| In views: | MissingData |
| CRAN checks: | dils results |
| Reference manual: | dils.pdf |
| Package source: | dils_0.8.1.tar.gz |
| Windows binaries: | r-devel: dils_0.8.1.zip, r-release: dils_0.8.1.zip, r-oldrel: dils_0.8.1.zip |
| macOS binaries: | r-release: dils_0.8.1.tgz, r-oldrel: dils_0.8.1.tgz |
| Old sources: | dils archive |
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