Changelog
Source:NEWS.md
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
withas_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, atsigma_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 2.0.1
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 matrixpcor_to_cor
: convert the sampled partial correlation matrices into correlation matrices.zero_order_cors
: compute zero order correlationsconvergence
: acf and trace plotsposterior_samples
: extract posterior samplesregression_summary
: summarize multivariate regressionpcor_sum
: Compute and compare partial correlation sumsweighted_adj_mat
: Extract the Weighted Adjacency Matrixpcor_mat
: Extract the Partial Correlation MatrixFive additional data sets were added.