Stochastic Blockmodeling of One-Mode and Linked Networks R package StochBlock version 0.1.5 CRAN Task View: NetworkAnalysis (https://CRAN.R-project.org/view=NetworkAnalysis) 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). Software Imports: blockmodeling, doParallel, doRNG, foreach, Rcpp (>= 1.0.0) LinkingTo: Rcpp, RcppArmadillo Aleš Žiberna <ales.ziberna@fdv.uni-lj.si> Comprehensive R Archive Network (CRAN) Aleš Žiberna [aut, cre] (ORCID: <https://orcid.org/0000-0003-1534-6971>), Fabio Ashtar Telarico [ctb] (ORCID: <https://orcid.org/0000-0002-8740-7078>) GPL (>= 2) 2025-07-25 application/tgz https://CRAN.R-project.org/package=StochBlock doi:10.32614/CRAN.package.StochBlock