Package: StochBlock 0.1.2

StochBlock: Stochastic Blockmodeling of One-Mode and Linked Networks

Stochastic blockmodeling of one-mode and linked networks as implemented 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_0.1.2.tar.gz
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StochBlock.pdf |StochBlock.html
StochBlock/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

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

1.00 score 154 downloads 6 exports 12 dependencies

Last updated 2 years agofrom:03dd47306b. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-win-x86_64NOTENov 01 2024
R-4.5-linux-x86_64NOTENov 01 2024
R-4.4-win-x86_64NOTENov 01 2024
R-4.4-mac-x86_64NOTENov 01 2024
R-4.4-mac-aarch64NOTENov 01 2024
R-4.3-win-x86_64NOTENov 01 2024
R-4.3-mac-x86_64NOTENov 01 2024
R-4.3-mac-aarch64NOTENov 01 2024

Exports:findActiveParamICLStochBlockllStochBlockstochBlockstochBlockKMintstochBlockORP

Dependencies:blockmodelingcodetoolsdigestdoParalleldoRNGforeachiteratorslatticeMatrixRcppRcppArmadillorngtools