Constructs data-derived graphs from numerical observations using mutual, shared-neighbor, intersection, geodesic, radius, adaptive-radius, and minimum-spanning-tree completion methods. Provides graph conversion, pruning, diagnostics, spectral embedding, endpoint detection, and path utilities. The implemented graph constructions include methods described by Jarvis and Patrick (1973) <doi:10.1109/T-C.1973.223640>, Brito et al. (1997) <doi:10.1016/S0167-7152(96)00213-1>, Berry and Sauer (2019) <doi:10.3934/fods.2019001>, and Gower and Ross (1969) <doi:10.2307/2346439>.
Package details |
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| Author | Peter Gajer [aut, cre], Sunil Arya [ctb] (ANN library), David M. Mount [ctb] (ANN library), University of Maryland [cph] (ANN library), Yixuan Qiu [ctb, cph] (Spectra library), Anna Araslanova [ctb, cph] (Spectra LOBPCG solver), Gael Guennebaud [ctb, cph] (Spectra linear algebra routines), Jitse Niesen [ctb, cph] (Spectra linear algebra routines), Netherlands eScience Center [ctb, cph] (Spectra eigensolver routines) |
| Maintainer | Peter Gajer <pgajer@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://github.com/pgajer/dgraphs |
| Package repository | View on CRAN |
| Installation |
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