NEWS

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badp 0.5.0 (2026-05-14)

• Breaking change: best_models() now takes a character prior argument in place of the integer criterion argument. Use prior = "binomial" (default) instead of criterion = 1, and prior = "beta" instead of criterion = 2. This brings the API in line with summary.badp_bma(), which already used prior = "binomial" | "beta".
• Breaking change: Renamed dil.Par parameter to omega for clarity and consistency with statistical literature.
• Added S3 classes and methods for JSS compliance:
  • bma() now returns an object of class badp_bma (previously unclassed list).
  • optim_model_space() now returns an object of class badp_model_space.
  • Implemented S3 methods for badp_bma objects:
    • print.badp_bma() - Clean, informative console output.
    • summary.badp_bma() - Detailed statistical summary with highlighted important variables. Enhanced to display BMA statistics for both binomial and binomial-beta priors simultaneously.
    • coef.badp_bma() - Extract coefficients with optional standard errors and PIPs.
    • plot.badp_bma() - Default visualization with dispatch to existing plot functions.
  • Implemented print.badp_model_space() for model space objects.
  • Fixed component names in bma() output: removed spaces, duplicates, and typos; all names are now valid R identifiers (e.g., uniform_table, random_table, reg_names, dilution, alphas).
  • Compatibility note: Numeric indexing (results[[3]]) and helper functions (best_models(), jointness(), etc.) are fully preserved. Named access is available via the new identifiers (e.g., results$reg_names), but code using the previous long component names must be updated.
  • Added comprehensive tests for S3 methods and for preserved numeric-indexing/helper-function compatibility (125 new tests).
• Improved documentation: Added @keywords internal to hide helper and implementation functions from user-facing help documentation.
• Replaced sem_likelihood example: use the bundled economic_growth dataset instead of small random data that could produce NA or invalid positive values on some platforms.
• Removed ggpubr dependency; plotting functions now use patchwork for plot arrangement.
• Added migration_data dataset with migration flows data from Afonso, Alves, & Beck (2025).
• Added migration_model_space and migration_model_space_nonnested example model space objects.
• Fixed feature_standardization function to handle tibble input correctly.
• Exported join_lagged_col function.
• Standardized internal variable naming to R-idiomatic conventions (e.g., n_ prefix for counts, df_free for degrees of freedom).
• Fixed spelling mistakes and grammar in documentation.

badp 0.4.0 (2026-03-11)

• Renamed package from bdsm to badp (Bayesian Averaging for Dynamic Panels).
• Removed the df argument from the bma function; data is no longer required at the BMA stage.
• Added posterior_dens function for plotting posterior densities of coefficients.
• Added weighted coefficient histograms in coef_hist via the weight parameter (based on posterior model probabilities).
• Exported extract_names function.
• Recomputed bundled datasets to be consistent with updated optim_model_space.

badp 0.3.0

• Reimplemented SEM likelihood computation in C++.

badp 0.2.2

• 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.

badp 0.2.1

• Added a vignette explaining Bayesian model averaging for dynamic panels with weakly exogenous regressors

badp 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 is 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.

badp 0.1.0

• Initial CRAN submission.