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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+) <doi:10.48550/arXiv.2210.07491>.
Version: | 1.0.1 |
Imports: | RSpectra (≥ 0.16.1), rTensor (≥ 1.4.8), splines2 (≥ 0.4.7) |
Published: | 2024-04-03 |
DOI: | 10.32614/CRAN.package.fase |
Author: | Peter W. MacDonald [aut, cre, cph] |
Maintainer: | Peter W. MacDonald <pwmacdon at umich.edu> |
BugReports: | https://github.com/peterwmacd/fase/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/peterwmacd/fase |
NeedsCompilation: | no |
CRAN checks: | fase results |
Reference manual: | fase.pdf |
Package source: | fase_1.0.1.tar.gz |
Windows binaries: | r-devel: fase_1.0.1.zip, r-release: fase_1.0.1.zip, r-oldrel: fase_1.0.1.zip |
macOS binaries: | r-release (arm64): fase_1.0.1.tgz, r-oldrel (arm64): fase_1.0.1.tgz, r-release (x86_64): fase_1.0.1.tgz, r-oldrel (x86_64): fase_1.0.1.tgz |
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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.