Package: dynsbm 0.8

dynsbm: Dynamic Stochastic Block Models

Dynamic stochastic block model that combines a stochastic block model (SBM) for its static part with independent Markov chains for the evolution of the nodes groups through time, developed in Matias and Miele (2016) <doi:10.1111/rssb.12200>.

Authors:Catherine Matias [aut], Vincent Miele [aut, cre]

dynsbm_0.8.tar.gz
dynsbm_0.8.zip(r-4.7-x86_64)dynsbm_0.8.zip(r-4.7-arm64)dynsbm_0.8.zip(r-4.6-x86_64)dynsbm_0.8.zip(r-4.6-arm64)dynsbm_0.8.zip(r-4.5-x86_64)
dynsbm_0.8.tgz(r-4.6-x86_64)dynsbm_0.8.tgz(r-4.6-arm64)dynsbm_0.8.tgz(r-4.5-x86_64)dynsbm_0.8.tgz(r-4.5-arm64)
dynsbm_0.8.tar.gz(r-4.7-arm64)dynsbm_0.8.tar.gz(r-4.7-x86_64)dynsbm_0.8.tar.gz(r-4.6-arm64)dynsbm_0.8.tar.gz(r-4.6-x86_64)
dynsbm_0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dynsbm/json (API)

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

On CRAN:

Conda:

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

cppopenmp

1.80 score 3 stars 21 scripts 447 downloads 1 mentions 3 exports 2 dependencies

Last updated from:397e403d63. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK115
linux-devel-x86_64OK108
source / vignettesOK182
linux-release-arm64OK80
linux-release-x86_64OK100
macos-release-arm64OK165
macos-release-x86_64OK277
macos-oldrel-arm64OK219
macos-oldrel-x86_64OK261
windows-devel-arm64OK352
windows-devel-x86_64OK151
windows-release-arm64OK345
windows-release-x86_64OK105
windows-oldrel-x86_64OK76
wasm-releaseOK91

Exports:adjacency.plotconnectivity.plotselect.dynsbm

Dependencies:RColorBrewerRcpp