Package: StochBlock 0.1.2
Aleš Žiberna
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:
StochBlock_0.1.2.tar.gz
StochBlock_0.1.2.tar.gz(r-4.5-noble)StochBlock_0.1.2.tar.gz(r-4.4-noble)
StochBlock_0.1.2.tgz(r-4.4-emscripten)StochBlock_0.1.2.tgz(r-4.3-emscripten)
StochBlock.pdf |StochBlock.html✨
StochBlock/json (API)
| # Install 'StochBlock' in R: |
| install.packages('StochBlock', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:03dd47306b. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 20 2024 |
Exports:findActiveParamICLStochBlockllStochBlockstochBlockstochBlockKMintstochBlockORP
Dependencies:blockmodelingcodetoolsdigestdoParalleldoRNGforeachiteratorslatticeMatrixRcppRcppArmadillorngtools
