Package: dBlockmodeling 0.2.3

Aleš Žiberna

dBlockmodeling: Deterministic Blockmodeling of Signed, One-Mode and Two-Mode Networks

It contains functions to apply blockmodeling of signed (positive and negative weights are assigned to the links), one-mode and valued one-mode and two-mode (two sets of nodes are considered, e.g. employees and organizations) networks (Brusco et al. (2019) <doi:10.1111/bmsp.12192>).

Authors:Michael Brusco [aut], Aleš Žiberna [cre], Marjan Cugmas [ctb], Patrick Doreian [ctb], Doug Steinley [ctb]

dBlockmodeling_0.2.3.tar.gz
dBlockmodeling_0.2.3.tar.gz(r-4.5-noble)dBlockmodeling_0.2.3.tar.gz(r-4.4-noble)
dBlockmodeling_0.2.3.tgz(r-4.4-emscripten)dBlockmodeling_0.2.3.tgz(r-4.3-emscripten)
dBlockmodeling.pdf |dBlockmodeling.html✨
dBlockmodeling/json (API)

# Install 'dBlockmodeling' in R:
install.packages('dBlockmodeling', repos = 'https://cloud.r-project.org')
Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • notesBorrowing - The notes borrowing network between social-informatics students
  • nyt - The New York Times advertisement data
  • sampsonT3 - Sampson's monastery data

On CRAN:

Conda:

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

fortran

1.00 score 1 stars 1 scripts 282 downloads 6 exports 0 dependencies

Last updated 2 years agofrom:5ddedb74ff. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 13 2025
R-4.5-linux-x86_64OKFeb 13 2025

Exports:omkmomkmNreprhgsbtrhrsbttmklmtmklmed

Dependencies: