The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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).
Version: | 0.1.2 |
Imports: | blockmodeling, doParallel, doRNG, foreach, Rcpp (≥ 1.0.0) |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2023-01-24 |
DOI: | 10.32614/CRAN.package.StochBlock |
Author: | Aleš Žiberna |
Maintainer: | Aleš Žiberna <ales.ziberna at fdv.uni-lj.si> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
Citation: | StochBlock citation info |
CRAN checks: | StochBlock results |
Reference manual: | StochBlock.pdf |
Package source: | StochBlock_0.1.2.tar.gz |
Windows binaries: | r-devel: StochBlock_0.1.2.zip, r-release: StochBlock_0.1.2.zip, r-oldrel: StochBlock_0.1.2.zip |
macOS binaries: | r-release (arm64): StochBlock_0.1.2.tgz, r-oldrel (arm64): StochBlock_0.1.2.tgz, r-release (x86_64): StochBlock_0.1.2.tgz, r-oldrel (x86_64): StochBlock_0.1.2.tgz |
Please use the canonical form https://CRAN.R-project.org/package=StochBlock to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.