NetOrigin: Origin Estimation for Propagation Processes on Complex Networks

Performs network-based source estimation. Different approaches are available: effective distance median (Manitz et al., 2014; <doi:10.1371/currents.outbreaks.f3fdeb08c5b9de7c09ed9cbcef5f01f2>), recursive backtracking (Manitz et al., 2016; <doi:10.1111/rssc.12176>), and centrality-based source estimation (Li et al., 2021; <doi:10.1371/journal.pcbi.1008545>). Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.

Version: 1.1-4
Depends: R (≥ 3.2.2)
Imports: igraph, Hmisc, colorspace, mvtnorm, corpcor, plyr
Published: 2022-01-20
Author: Juliane Manitz [aut, cre], Jonas Harbering [ctb], Jun Li [ctb]
Maintainer: Juliane Manitz <r at manitz.org>
BugReports: https://github.com/jmanitz/NetOrigin/issues
License: GPL-3
URL: https://netorigin.manitz.org/
NeedsCompilation: no
Materials: README
CRAN checks: NetOrigin results

Documentation:

Reference manual: NetOrigin.pdf

Downloads:

Package source: NetOrigin_1.1-4.tar.gz
Windows binaries: r-devel: NetOrigin_1.1-4.zip, r-release: NetOrigin_1.1-4.zip, r-oldrel: NetOrigin_1.1-4.zip
macOS binaries: r-release (arm64): NetOrigin_1.1-2.tgz, r-release (x86_64): NetOrigin_1.1-2.tgz, r-oldrel: NetOrigin_1.1-2.tgz
Old sources: NetOrigin archive

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