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BGGM 2.1.4

CRAN release: 2024-12-13

  • Addressed CRAN check error when building vignettes (removed example in bggm_missing.R – will put it back once it’s accepted to CRAN).
  • Downgraded required R version to 4.0.0

BGGM 2.1.3

CRAN release: 2024-07-05

  • Replaced dprecated armadillo function conv_to<>::from with as_scalar
  • prior_sd: Adjusted computation of delta. Also, changed default value for estimation: sqrt(1/3) resulting in delta = 2. For model testing default is more tight, at sigma_sd = 0.5, resulting in delta = 3.
  • prior_sd is now limited to range 0 – sqrt(1/2)

BGGM 2.1.2

CRAN release: 2024-06-22

  • The prior_sd (or rho_sd in var_estimate() ) is limited to ranges between 0 and sqrt(1/8). These values ensure that delta does not go below 1.
  • Critical: select() did not return partial correlations, but Fisher-z values in summary(). Fisher values are transformed back to correlation metric. This fixes #90, see changes.
  • Upgraded deprecated ggplot guides() argument
  • Resolved non positive definite initialization matrix in wishrnd() in copula models when NA’s are present in observed variables (fixes #89). See changes here

BGGM 2.1.1

CRAN release: 2024-02-23

BFpack dependency error fixed.

BGGM 2.0.1

CRAN release: 2020-07-23

This version of BGGM included changes based on the JOSS reviews: see here for the overview and here for specific issues.

BGGM 2.0.0

CRAN release: 2020-05-31

BGGM was almost completely rewritten for version 2.0.0. This was due to adding support for binary, ordinal, and mixed data, which required that the methods be written in c ++. Unfortunately, as a result, lots of code from version 1.0.0 is broken.

Added features

  • Full support for binary, ordinal, and mixed data. This is implemented with the argument type

  • roll_your_own: compute custom network statistics from a weighted adjacency matrix or a partial correlation matrix

  • pcor_to_cor: convert the sampled partial correlation matrices into correlation matrices.

  • zero_order_cors: compute zero order correlations

  • convergence: acf and trace plots

  • posterior_samples: extract posterior samples

  • regression_summary: summarize multivariate regression

  • pcor_sum: Compute and compare partial correlation sums

  • weighted_adj_mat: Extract the Weighted Adjacency Matrix

  • pcor_mat: Extract the Partial Correlation Matrix

  • Five additional data sets were added.

Extensions

  • ggm_compare_ppc: added option for custom network statistics

  • Added option to control for variables with formula

  • A progress bar was added to many functions

BGGM 1.0.0

CRAN release: 2020-02-06

Initial CRAN release