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 |