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 colorado.edu> License: GPL-3 URL: https://github.com/langendorfr/netcom NeedsCompilation: no Materials: README CRAN checks: netcom resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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