Standard classes: All tests and estimation
routines have been rewritten to use standard R classes such as
htest, anova, and lm. This
improves compatibility with generic methods and downstream
analyses.
Multipliers & bootstrap: Added functionality to compute dynamic multipliers along with a bootstrap-based inference method, allowing more robust uncertainty quantification.
ECM method updated: The error correction model (ECM) method has been modified to enhance estimation accuracy and better integrate with the new class structure.
Internal improvements: Minor internal code improvements and documentation updates to support new features and maintain CRAN compliance.
Windows compatibility: Fixed an issue where the
summary() output was not fully compatible with Windows in
earlier versions.
Documentation: Updated documentation to reflect changes in function names and new features, ensuring clarity for users.
Examples: Updated examples in the documentation to demonstrate the new features and changes in function usage.
Testing: Added new unit tests to cover the new features and ensure the robustness of the package.
Performance: Improved performance of the estimation routines, particularly for larger datasets, through optimized code and better use of R’s vectorized operations.
Error handling: Enhanced error handling to provide more informative messages when users encounter issues with input data or function usage.
Vignettes: Updated vignettes to include examples of the new features and to provide a comprehensive overview of the package’s capabilities.