Package: bgms 0.1.4.3

bgms: Bayesian Analysis of Networks of Binary and/or Ordinal Variables

Bayesian variable selection methods for analyzing the structure of a Markov Random Field model for a network of binary and/or ordinal variables. Details of the implemented methods can be found in: Marsman, van den Bergh, and Haslbeck (in press) <doi:10.31234/osf.io/ukwrf>.

Authors:Maarten Marsman [aut, cre], Giuseppe Arena [ctb], Karoline Huth [ctb], Nikola Sekulovski [ctb], Don van den Bergh [ctb]

bgms_0.1.4.3.tar.gz
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bgms_0.1.4.3.tgz(r-4.5-x86_64)bgms_0.1.4.3.tgz(r-4.5-arm64)bgms_0.1.4.3.tgz(r-4.4-x86_64)bgms_0.1.4.3.tgz(r-4.4-arm64)bgms_0.1.4.3.tgz(r-4.3-x86_64)bgms_0.1.4.3.tgz(r-4.3-arm64)
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bgms.pdf |bgms.html
bgms/json (API)
NEWS

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

Bug tracker:https://github.com/maartenmarsman/bgms/issues

Pkgdown site:https://maartenmarsman.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • Wenchuan - Post-traumatic stress disorder symptoms of Wenchuan earthquake survivors

On CRAN:

Conda:

cpp

6.96 score 4 stars 1 packages 30 scripts 533 downloads 14 exports 5 dependencies

Last updated 5 hours agofrom:59e47b4b5a. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-win-x86_64OKMar 17 2025
R-4.5-mac-x86_64OKMar 17 2025
R-4.5-mac-aarch64OKMar 17 2025
R-4.5-linux-x86_64OKMar 17 2025
R-4.4-win-x86_64OKMar 17 2025
R-4.4-mac-x86_64OKMar 17 2025
R-4.4-mac-aarch64OKMar 17 2025
R-4.4-linux-x86_64OKMar 17 2025
R-4.3-win-x86_64OKMar 17 2025
R-4.3-mac-x86_64OKMar 17 2025
R-4.3-mac-aarch64OKMar 17 2025

Exports:bgmbgmCompareextract_argumentsextract_category_thresholdsextract_edge_indicatorsextract_indicator_priorsextract_indicatorsextract_main_difference.bgmCompareextract_pairwise_difference.bgmCompareextract_pairwise_interactionsextract_pairwise_thresholdsextract_posterior_inclusion_probabilitiesmrfSamplersummarySBM

Dependencies:rbibutilsRcppRcppArmadilloRcppProgressRdpack

Bayesian analysis of networks of binary and/or ordinal variables using the bgm function

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2024-09-22
Started: 2023-04-13