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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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.