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>.

Version: 1.4
Imports: ROCR, TSP, igraph, fdrtool, coin, methods, graphics, stats, earth, randomForest, e1071
Published: 2020-10-19
Author: Tianwei Yu, Haodong Liu
Maintainer: Tianwei Yu <yutianwei at cuhk.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: nlnet results

Downloads:

Reference manual: nlnet.pdf
Package source: nlnet_1.4.tar.gz
Windows binaries: r-devel: nlnet_1.4.zip, r-release: nlnet_1.4.zip, r-oldrel: nlnet_1.4.zip
macOS binaries: r-release: nlnet_1.4.tgz, r-oldrel: nlnet_1.4.tgz
Old sources: nlnet archive

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