Package: expSBM 1.3.6

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 (2020) <doi:10.1007/s11634-020-00403-w>.

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

expSBM_1.3.6.tar.gz
expSBM_1.3.6.zip(r-4.7)expSBM_1.3.6.zip(r-4.6)expSBM_1.3.6.zip(r-4.5)
expSBM_1.3.6.tgz(r-4.6-x86_64)expSBM_1.3.6.tgz(r-4.6-arm64)expSBM_1.3.6.tgz(r-4.5-x86_64)expSBM_1.3.6.tgz(r-4.5-arm64)
expSBM_1.3.6.tar.gz(r-4.7-arm64)expSBM_1.3.6.tar.gz(r-4.7-x86_64)expSBM_1.3.6.tar.gz(r-4.6-arm64)expSBM_1.3.6.tar.gz(r-4.6-x86_64)
expSBM_1.3.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 210 downloads 4 exports 6 dependencies

Last updated from:0ea89c51ad. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK131
linux-devel-x86_64OK122
source / vignettesOK198
linux-release-arm64OK119
linux-release-x86_64OK131
macos-release-arm64OK129
macos-release-x86_64OK270
macos-oldrel-arm64OK117
macos-oldrel-x86_64OK290
windows-develOK123
windows-releaseOK125
windows-oldrelOK118
wasm-releaseOK107

Exports:expSBM_ELBOexpSBM_EMexpSBM_initexpSBM_select

Dependencies:blockmodelsdigestgtoolsmclustRcppRcppArmadillo