Package: bgms 0.1.6.3
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.
Authors:
bgms_0.1.6.3.tar.gz
bgms_0.1.6.3.tar.gz(r-4.7-arm64)bgms_0.1.6.3.tar.gz(r-4.7-x86_64)bgms_0.1.6.3.tar.gz(r-4.6-arm64)bgms_0.1.6.3.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
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/bayesian-graphical-modelling-lab/bgms/issues
Pkgdown/docs site:https://bayesian-graphical-modelling-lab.github.io
Last updated from:2e2d88ce1d. Checks:4 NOTE, 1 OK, 1 FAIL. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 277 | ||
| linux-devel-x86_64 | NOTE | 251 | ||
| source / vignettes | OK | 427 | ||
| linux-release-arm64 | NOTE | 259 | ||
| linux-release-x86_64 | NOTE | 246 | ||
| wasm-release | FAIL | 241 |
Exports:bgmbgmCompareextract_argumentsextract_category_thresholdsextract_edge_indicatorsextract_essextract_group_paramsextract_indicator_priorsextract_indicatorsextract_pairwise_interactionsextract_pairwise_thresholdsextract_posterior_inclusion_probabilitiesextract_rhatextract_sbmmrfSamplersimulate_mrf
Dependencies:BHclicodadqrnglatticelifecyclerbibutilsRcppRcppArmadilloRcppParallelRdpackrlangsitmo
Diagnostics and Spike-and-Slab Summaries
Rendered fromdiagnostics.Rmdusingknitr::rmarkdownon Jun 14 2026.Last update: 2026-02-14
Started: 2025-09-27
Getting Started with bgms
Rendered fromintro.Rmdusingknitr::rmarkdownon Jun 14 2026.Last update: 2026-02-14
Started: 2025-09-27
Model Comparison with bgmCompare
Rendered fromcomparison.Rmdusingknitr::rmarkdownon Jun 14 2026.Last update: 2026-02-14
Started: 2025-09-27
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ADHD Symptom Checklist for Children Aged 6–8 Years | ADHD |
| Bayesian Estimation or Edge Selection for Markov Random Fields | bgm |
| Bayesian Estimation and Variable Selection for Group Differences in Markov Random Fields | bgmCompare |
| Short Boredom Proneness Scale Responses | Boredom |
| Extract Coefficients from a bgmCompare Object | coef.bgmCompare |
| Extract Coefficients from a bgms Object | coef.bgms |
| Predict Conditional Probabilities from a Fitted bgmCompare Model | predict.bgmCompare |
| Predict Conditional Probabilities from a Fitted bgms Model | predict.bgms |
| Print method for `bgmCompare` objects | print.bgmCompare |
| Print method for `bgms` objects | print.bgms |
| Simulate Observations from an Ordinal MRF | simulate_mrf |
| Simulate Data from a Fitted bgmCompare Model | simulate.bgmCompare |
| Simulate Data from a Fitted bgms Model | simulate.bgms |
| Summary method for `bgmCompare` objects | summary.bgmCompare |
| Summary method for `bgms` objects | summary.bgms |
| PTSD Symptoms in Wenchuan Earthquake Survivors Who Lost a Child | Wenchuan |
