R-universe - peterwmacd (peterwmacd)

multiness - MULTIplex NEtworks with Shared Structure

Model fitting and simulation for Gaussian and logistic inner product MultiNeSS models for multiplex networks. The package implements a convex fitting algorithm with fully adaptive parameter tuning, including options for edge cross-validation. For more details see MacDonald et al., (2022) <https://doi.org/10.1093/biomet/asab058>.

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3.37 score 47 scripts 292 downloads

fase - Functional Adjacency Spectral Embedding

Latent process embedding for functional network data with the Functional Adjacency Spectral Embedding. Fits smooth latent processes based on cubic spline bases. Also generates functional network data from three models, and evaluates a network generalized cross-validation criterion for dimension selection. For more information, see MacDonald, Zhu and Levina (2022+) <arXiv:2210.07491>.

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2.70 score 3 scripts 282 downloads