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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.
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.