Package: bgms 0.1.4

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:Maarten Marsman [aut, cre], Karoline Huth [ctb], Nikola Sekulovski [ctb], Don van den Bergh [ctb]

bgms_0.1.4.tar.gz
bgms_0.1.4.tar.gz(r-4.5-noble)bgms_0.1.4.tar.gz(r-4.4-noble)
bgms_0.1.4.tgz(r-4.4-emscripten)bgms_0.1.4.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'))

Peer review:

Bug tracker:https://github.com/maartenmarsman/bgms/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • Wenchuan - Post-traumatic stress disorder symptoms of Wenchuan earthquake survivors

4.32 score 1 packages 23 scripts 745 downloads 13 exports 4 dependencies

Last updated 2 days agofrom:74cef412a0. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 21 2024
R-4.5-linux-x86_64OKOct 21 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 Oct 21 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 Oct 21 2024.

Last update: 2024-10-20
Started: 2023-04-21