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bgms 0.1.3.1

  • Exported extractor functions to extract results from bgm objects in a safe way.

bgms 0.1.3

CRAN release: 2024-02-25

  • Added support for Bayesian estimation without edge selection to bgm().
  • Added support for simulating data from a (mixed) binary, ordinal, and Blume-Capel MRF to mrfSampler()
  • Added support for analyzing (mixed) binary, ordinal, and Blume-Capel variables to bgm()
  • Removed support of optimization based functions, mple(), mppe(), and bgm.em()
  • Removed support for the Unit-Information prior from bgm()
  • Removed support to do non-adaptive Metropolis from bgm()
  • Reduced file size when saving raw MCMC samples

bgms 0.1.2

CRAN release: 2023-10-13

This is a minor release that adds some bug fixes.

bgms 0.1.1

CRAN release: 2023-09-01

This is a minor release adding some new features and fixing some minor bugs.

New features

  • Missing data imputation for the bgm function. See the na.action option.
  • Prior distributions for the network structure in the bgm function. See the edge_prior option.
  • Adaptive Metropolis as an alternative to the current random walk Metropolis algorithm in the bgm function. See the adaptive option.

User level changes

  • Changed the default specification of the interaction prior from UnitInfo to Cauchy. See the interaction_prior option.
  • Changed the default threshold hyperparameter specification from 1.0 to 0.5. See the threshold_alpha and threshold_beta options.
  • Analysis output now uses the column names of the data.