Package: expSBM 1.3.5

expSBM: An Exponential Stochastic Block Model for Interaction Lengths

Given a continuous-time dynamic network, this package allows one to fit a stochastic blockmodel where nodes belonging to the same group create interactions and non-interactions of similar lengths. This package implements the methodology described by R. Rastelli and M. Fop (2019) <arxiv:1901.09828>.

Authors:Riccardo Rastelli [aut, cre], Michael Fop [aut]

expSBM_1.3.5.tar.gz
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expSBM_1.3.5.tgz(r-4.5-x86_64)expSBM_1.3.5.tgz(r-4.5-arm64)expSBM_1.3.5.tgz(r-4.4-x86_64)expSBM_1.3.5.tgz(r-4.4-arm64)expSBM_1.3.5.tgz(r-4.3-x86_64)expSBM_1.3.5.tgz(r-4.3-arm64)
expSBM_1.3.5.tar.gz(r-4.5-noble)expSBM_1.3.5.tar.gz(r-4.4-noble)
expSBM_1.3.5.tgz(r-4.4-emscripten)expSBM_1.3.5.tgz(r-4.3-emscripten)
expSBM.pdf |expSBM.html✨
expSBM/json (API)

# Install 'expSBM' in R:
install.packages('expSBM', repos = c('https://riccardorastelli.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • high_school - Interactions between high school students

On CRAN:

Conda:

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

cppopenmp

1.00 score 3 scripts 169 downloads 4 exports 6 dependencies

Last updated 5 years agofrom:1a78ef7ff6. Checks:1 OK, 11 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 03 2025
R-4.5-win-x86_64NOTEApr 03 2025
R-4.5-mac-x86_64NOTEApr 03 2025
R-4.5-mac-aarch64NOTEApr 03 2025
R-4.5-linux-x86_64NOTEApr 03 2025
R-4.4-win-x86_64NOTEApr 03 2025
R-4.4-mac-x86_64NOTEApr 03 2025
R-4.4-mac-aarch64NOTEApr 03 2025
R-4.4-linux-x86_64NOTEApr 03 2025
R-4.3-win-x86_64NOTEApr 03 2025
R-4.3-mac-x86_64NOTEApr 03 2025
R-4.3-mac-aarch64NOTEApr 03 2025

Exports:expSBM_ELBOexpSBM_EMexpSBM_initexpSBM_select

Dependencies:blockmodelsdigestgtoolsmclustRcppRcppArmadillo