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
• Modified refer to the model space as the 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.

bdsm 0.1.0

• Initial CRAN submission.