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)BFpack dependency error fixed.
This version of BGGM included changes based on the JOSS reviews: see here for the overview and here for specific issues.
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.
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.
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
Initial CRAN release