Package: bgms 0.1.3.1
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 and Haslbeck (2023) <doi:10.31234/osf.io/ukwrf>.
Authors:
bgms_0.1.3.1.tar.gz
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bgms_0.1.3.1.tgz(r-4.4-x86_64)bgms_0.1.3.1.tgz(r-4.4-arm64)bgms_0.1.3.1.tgz(r-4.3-x86_64)bgms_0.1.3.1.tgz(r-4.3-arm64)
bgms_0.1.3.1.tar.gz(r-4.5-noble)bgms_0.1.3.1.tar.gz(r-4.4-noble)
bgms_0.1.3.1.tgz(r-4.4-emscripten)bgms_0.1.3.1.tgz(r-4.3-emscripten)
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
- Wenchuan - Post-traumatic stress disorder symptoms of Wenchuan earthquake survivors
Last updated 8 days agofrom:72d68410bb. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 10 2024 |
R-4.5-win-x86_64 | OK | Sep 10 2024 |
R-4.5-linux-x86_64 | OK | Sep 10 2024 |
R-4.4-win-x86_64 | OK | Sep 10 2024 |
R-4.4-mac-x86_64 | OK | Sep 10 2024 |
R-4.4-mac-aarch64 | OK | Sep 10 2024 |
R-4.3-win-x86_64 | OK | Sep 10 2024 |
R-4.3-mac-x86_64 | OK | Sep 10 2024 |
R-4.3-mac-aarch64 | OK | Sep 10 2024 |
Exports:bgmextract_argumentsextract_edge_indicatorsextract_edge_priorsextract_pairwise_thresholdsextract_posterior_inclusion_probabilitiesmrfSampler
Dependencies:rbibutilsRcppRcppProgressRdpack