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Performs network-based source estimation. Different approaches are available: effective distance median, recursive backtracking, and centrality-based source estimation. Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.
| Version: | 1.1-6 |
| Depends: | R (≥ 3.2.2) |
| Imports: | igraph, Hmisc, colorspace, mvtnorm, corpcor, plyr, dplyr, tibble |
| Published: | 2023-09-04 |
| 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 |
| Reference manual: | NetOrigin.pdf |
| Package source: | NetOrigin_1.1-6.tar.gz |
| Windows binaries: | r-devel: NetOrigin_1.1-6.zip, r-release: NetOrigin_1.1-6.zip, r-oldrel: NetOrigin_1.1-6.zip |
| macOS binaries: | r-release (arm64): NetOrigin_1.1-6.tgz, r-oldrel (arm64): NetOrigin_1.1-6.tgz, r-release (x86_64): NetOrigin_1.1-6.tgz, r-oldrel (x86_64): NetOrigin_1.1-6.tgz |
| Old sources: | NetOrigin archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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