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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>.
Version: | 0.1.3.1 |
Depends: | R (≥ 2.10) |
Imports: | Rcpp (≥ 1.0.7), Rdpack, methods |
LinkingTo: | Rcpp, RcppProgress |
Suggests: | knitr, qgraph, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-05-15 |
DOI: | 10.32614/CRAN.package.bgms |
Author: | Maarten Marsman |
Maintainer: | Maarten Marsman <m.marsman at uva.nl> |
BugReports: | https://github.com/MaartenMarsman/bgms/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://maartenmarsman.github.io/bgms/ |
NeedsCompilation: | yes |
Citation: | bgms citation info |
Materials: | README NEWS |
CRAN checks: | bgms results |
Reference manual: | bgms.pdf |
Vignettes: |
Introducing bgms |
Package source: | bgms_0.1.3.1.tar.gz |
Windows binaries: | r-devel: bgms_0.1.3.1.zip, r-release: bgms_0.1.3.1.zip, r-oldrel: bgms_0.1.3.1.zip |
macOS binaries: | r-release (arm64): bgms_0.1.3.1.tgz, r-oldrel (arm64): bgms_0.1.3.1.tgz, r-release (x86_64): bgms_0.1.3.1.tgz, r-oldrel (x86_64): bgms_0.1.3.1.tgz |
Old sources: | bgms archive |
Reverse imports: | easybgm |
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These binaries (installable software) and packages are in development.
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