netcom: NETwork COMparison Inference

Infer system functioning with empirical NETwork COMparisons. These methods are part of a growing paradigm in network science that uses relative comparisons of networks to infer mechanistic classifications and predict systemic interventions. They have been developed and applied in Langendorf and Burgess (2021) <doi:10.1038/s41598-021-99251-7>, Langendorf (2020) <doi:10.1201/9781351190831-6>, and Langendorf and Goldberg (2019) <doi:10.48550/arXiv.1912.12551>.

Version: 2.1.7
Depends: R (≥ 3.1.0)
Imports: stats, dplyr, tibble, clue, expm, igraph, Matrix, pdist, pracma, vegan, magrittr, foreach, parallel, doParallel, optimx, GenSA, rlang, ggfortify, ggplot2, ggraph, reshape2
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2024-06-04
DOI: 10.32614/CRAN.package.netcom
Author: Ryan Langendorf [aut, cre], Debra Goldberg [ctb], Matthew Burgess [ctb]
Maintainer: Ryan Langendorf <ryan.langendorf at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: netcom results


Reference manual: netcom.pdf
Vignettes: netcom: Infer system functioning with empirical NETwork COMparisons


Package source: netcom_2.1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): netcom_2.1.7.tgz, r-oldrel (arm64): netcom_2.1.7.tgz, r-release (x86_64): netcom_2.1.7.tgz, r-oldrel (x86_64): netcom_2.1.7.tgz
Old sources: netcom archive


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