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>.
Version: 0.1.4.2 Depends: R (≥ 2.10) Imports: Rcpp (≥ 1.0.7), Rdpack, methods LinkingTo: Rcpp, RcppProgress Suggests: knitr, qgraph, rmarkdown, testthat (≥ 3.0.0) Published: 2024-12-05 DOI: 10.32614/CRAN.package.bgms Author: Maarten Marsman [aut, cre], Karoline Huth [ctb], Nikola Sekulovski [ctb], Don van den Bergh [ctb] 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=bgms to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4