Package: bgms 0.1.4.2
Maarten Marsman
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:
bgms_0.1.4.2.tar.gz
bgms_0.1.4.2.tar.gz(r-4.5-noble)bgms_0.1.4.2.tar.gz(r-4.4-noble)
bgms_0.1.4.2.tgz(r-4.4-emscripten)bgms_0.1.4.2.tgz(r-4.3-emscripten)
bgms.pdf |bgms.html✨
bgms/json (API)
NEWS
| # Install 'bgms' in R: |
| install.packages('bgms', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/maartenmarsman/bgms/issues
Pkgdown site:https://maartenmarsman.github.io
- Wenchuan - Post-traumatic stress disorder symptoms of Wenchuan earthquake survivors
Last updated 21 days agofrom:b8cc655ce7. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 05 2024 |
| R-4.5-linux-x86_64 | OK | Dec 05 2024 |
Exports:bgmbgmCompareextract_argumentsextract_category_thresholdsextract_edge_indicatorsextract_indicator_priorsextract_indicatorsextract_main_difference.bgmCompareextract_pairwise_difference.bgmCompareextract_pairwise_interactionsextract_pairwise_thresholdsextract_posterior_inclusion_probabilitiesmrfSampler
Dependencies:rbibutilsRcppRcppProgressRdpack
Bayesian comparison on networks of binary and ordinal variables in two independent samples using the bgmCompare function
Rendered frombgmcompare.Rmdusingknitr::rmarkdownon Dec 05 2024.Last update: 2024-10-20
Started: 2024-10-20
Bayesian analysis of networks of binary and/or ordinal variables using the bgm function
Rendered fromintroduction.Rmdusingknitr::rmarkdownon Dec 05 2024.Last update: 2024-10-20
Started: 2023-04-21
