Package: StochBlock 0.1.5

Aleš Žiberna

StochBlock: Stochastic Blockmodeling of One-Mode and Linked Networks

Stochastic blockmodeling of one-mode and linked networks as presented in Škulj and Žiberna (2022) <doi:10.1016/j.socnet.2022.02.001>. The optimization is done via CEM (Classification Expectation Maximization) algorithm that can be initialized by random partitions or the results of k-means algorithm. The development of this package is financially supported by the Slovenian Research Agency (<https://www.arrs.si/>) within the research programs P5-0168 and the research projects J7-8279 (Blockmodeling multilevel and temporal networks) and J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks).

Authors:Aleš Žiberna [aut, cre], Fabio Ashtar Telarico [ctb]

StochBlock_0.1.5.tar.gz
StochBlock_0.1.5.tar.gz(r-4.7-arm64)StochBlock_0.1.5.tar.gz(r-4.7-x86_64)StochBlock_0.1.5.tar.gz(r-4.6-arm64)StochBlock_0.1.5.tar.gz(r-4.6-x86_64)
StochBlock_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
StochBlock/json (API)

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

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 208 downloads 8 exports 12 dependencies

Last updated from:90e936a2ec. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK141
linux-devel-x86_64OK147
source / vignettesOK181
linux-release-arm64OK149
linux-release-x86_64OK138
wasm-releaseOK104

Exports:findActiveParamICLStochBlockllStochBlockstochBlockstochBlockForUDSstochBlockKMintstochBlockORPupAndDownSearch

Dependencies:blockmodelingcodetoolsdigestdoParalleldoRNGforeachiteratorslatticeMatrixRcppRcppArmadillorngtools