Package: netsubsamp 1.0.0

netsubsamp: Multivariate Inference of Network Moments by Subsampling

Implements node subsampling methods for multivariate inference on network moments (rescaled motif counts), including: uniform node subsampling to approximate the joint distribution of multiple network moments (Algorithm 1); externally sparsified moments for density-matched comparisons (Algorithm 2); and a two-sample test for unmatchable networks with unequal edge densities via a split-and-sparsify subsampling procedure (Algorithm 3). Built-in support for V-shape (2-star), triangle, and 3-star motifs, with a user-extensible interface for arbitrary additional motifs. Parallel execution is supported via 'doParallel' and 'foreach'. Based on Qi, Hua, Li and Zhou (2024) <doi:10.48550/arXiv.2409.01599>.

Authors:Mingyu Qi [aut], Chen-Wei Hua [aut], Tianxi Li [aut, cre], Wen Zhou [aut]

netsubsamp_1.0.0.tar.gz
netsubsamp_1.0.0.zip(r-4.7)netsubsamp_1.0.0.zip(r-4.6)netsubsamp_1.0.0.zip(r-4.5)
netsubsamp_1.0.0.tgz(r-4.6-any)netsubsamp_1.0.0.tgz(r-4.5-any)
netsubsamp_1.0.0.tar.gz(r-4.7-any)netsubsamp_1.0.0.tar.gz(r-4.6-any)
netsubsamp_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
netsubsamp/json (API)

# Install 'netsubsamp' in R:
install.packages('netsubsamp', repos = c('https://tianxili.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 475 downloads 3 exports 4 dependencies

Last updated from:020fd15eb7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK123
source / vignettesOK175
linux-release-x86_64OK123
macos-release-arm64OK128
macos-oldrel-arm64OK150
windows-develOK89
windows-releaseOK82
windows-oldrelOK65
wasm-releaseOK109

Exports:sparsify_momentssubsample_momentstwo_sample_test

Dependencies:codetoolsdoParallelforeachiterators