Modified the method for selecting beta coefficient rows in the
bma function for improved robustness and
compatibility.
Updated tests to align with changes in the upcoming ggplot2 release
(v4.0.0), ensuring compatibility and future-proofing the package.
bdsm 0.2.1
Added vignette explaining Bayesian model averaging for dynamic
panels with weakly exogenous regressors
bdsm 0.2.0
Added GitHub Actions Workflows:
.github/workflows/R-CMD-check-develop.yaml: A workflow for R CMD
checks on the develop branch.
.github/workflows/R-CMD-check-main.yaml: A workflow for R CMD checks
across multiple operating systems and R versions on the main
branch.
Updated .Rbuildignore:
Ignored the .github directory.
Updated .gitignore:
Added rules to ignore R-specific temporary files, build outputs, and
vignettes.
Updated DESCRIPTION:
Added rmarkdown and pbapply to Suggested and Imports,
respectively.
Updated the dependency on R to version >= 3.5.
Updated NAMESPACE:
Adjusted function exports to follow naming conventions (e.g., SEM_*
functions renamed to sem_*).
Re-factored R Functions:
Renamed SEM_* functions to sem_* in multiple files for
consistency.
Removed R/SEM_bma.R:
The file R/SEM_bma.R was deleted, indicating major re-factoring or
deprecation of related functionality.
Added progress bar for computationally intensive functions
Changed naming convention and broadened the meaning of a model
space. Now it’s a list containing two named elements: parameters
(params) of all considered models and statistics (stats) computed using
these parameters. This is a much more comprehensible naming convention
than the previous one, where only the parameters were considered as the
model space. Along with that change, some re-factoring and modifications
were introduced:
all functions relating to the model space are now stored in
R/model_space.R
initialize_model_space was renamed to init_model_space_params
likelihoods_summary was renamed to compute_model_space_stats
optimal_model_space was renamed to optim_model_space_params
a wrapper function optim_model_space, which returns the entire model
space (both parameters and statistics), was introduced
data objects released with the package were re-factored, recomputed,
and renamed. Two example model spaces computed with the new
optim_model_space function are provided: small_model_space and
full_model_space.
Simplified the framework for data preparation. A single function
feature_standardization is provided, which allows flexible and simple
options for data preparation. See the vignette and function manual for
more details.