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 results |