NEWS

rwa 0.1.2.9000

Added rwa_logit() and rwa_multiregress() to support logistic regression and multiple regression.
Added new vignette to cover the new regression methods.
Improved test coverage and minor bugfixes.

Input validation: Added comprehensive validation for rwa() parameters including conf_level, n_bootstrap, non-numeric variables, zero-variance variables, and singular correlation matrices with informative error messages
Code refactoring: Consolidated duplicate RWA calculation code in bootstrap functions into a single internal helper
Documentation: Added links to pkgdown site in README; fixed internal function documentation

Fixed flaky bootstrap test by using a fixed random seed for reproducibility (#20)

Added extensive tests for input validation and edge cases (collinearity, small samples, invalid parameters)

Bootstrap confidence intervals: Added bootstrap = TRUE parameter to rwa() for statistical significance testing of relative weights
Result sorting: Added sort = TRUE parameter to automatically sort results by importance (descending order). Set sort = FALSE to preserve original predictor order
Comprehensive vignette: New detailed documentation covering methodology, examples, and best practices
Enhanced documentation: Updated README and function documentation

Package compliance: Updated DESCRIPTION with proper Authors@R field for CRAN submission
CI/CD: Enhanced GitHub Actions workflow with vignette building support
Dependencies: Added boot, purrr, and utils packages for bootstrap functionality
Code quality improvements: Fixed long lines in R code to meet CRAN standards
Documentation cleanup: Improved code formatting and removed unused variables
Enhanced vignette formatting: Cleaned up formatting in comprehensive vignette documentation

Re-submission to CRAN

Re-submission to CRAN

First submission to CRAN (required to re-submit)