Package: nlnet 1.4
Tianwei Yu
nlnet: Nonlinear Network, Clustering, and Variable Selection Based on DCOL
It includes four methods: DCOL-based K-profiles clustering, non-linear network reconstruction, non-linear hierarchical clustering, and variable selection for generalized additive model. References: Tianwei Yu (2018)<doi:10.1002/sam.11381>; Haodong Liu and others (2016)<doi:10.1371/journal.pone.0158247>; Kai Wang and others (2015)<doi:10.1155/2015/918954>; Tianwei Yu and others (2010)<doi:10.1109/TCBB.2010.73>.
Authors:
nlnet_1.4.tar.gz
nlnet_1.4.tar.gz(r-4.5-noble)nlnet_1.4.tar.gz(r-4.4-noble)
nlnet_1.4.tgz(r-4.4-emscripten)nlnet_1.4.tgz(r-4.3-emscripten)
nlnet.pdf |nlnet.html✨
nlnet/json (API)
| # Install 'nlnet' in R: |
| install.packages('nlnet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:e5c76bfdee. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 11 2024 |
| R-4.5-linux | OK | Dec 11 2024 |
Exports:data.genKPCnlhcnlnetnvsdstage.forward
Dependencies:bitopscaToolsclassclicodetoolscoincpp11e1071earthfdrtoolforeachFormulagluegplotsgtoolsigraphiteratorsKernSmoothlatticelibcoinlifecyclemagrittrMASSMatrixmatrixStatsmodeltoolsmultcompmvtnormpkgconfigplotmoplotrixproxyrandomForestrlangROCRsandwichsurvivalTH.dataTSPvctrszoo
