Changes in version 0.2.0.9000                      

                 Changes in version 0.2.0 (2026-03-10)                  

New Features

  - Added model_info() function to extract metadata used for
    calculations, such as regression type (linear/power), sample size
    ($n$), and degrees of freedom ($k$, $df_{res}$).
  - The print() methods for r2_kvr2 and comp_kvr2 objects now display
    model information at the end of the output by default.
  - Added a new argument model_info (default is TRUE) to print()
    methods, allowing users to toggle the display of model metadata.
  - Added comp_model() to contrast intercept and no-intercept versions
    of the same model using QR-decomposition for robust re-calculation.
  - Added a set of plot functions that visually display the difference
    between the actual and predicted values of the dependent variable in
    the model and the coefficient of determination.

Improvements

  - Improved the auto-detection logic for power regression models. It
    now correctly distinguishes between a variable named "log" and the
    log() function call (e.g., lm(log(y) ~ x) is correctly identified
    while lm(log ~ x) is treated as linear).
  - Internal calculations now explicitly store model attributes to
    ensure consistency between r2() and model_info().

Bug Fixes

  - Fixed several typographical errors in the output and documentation.
    Notably, corrected "RMES" to "RMSE" (Root Mean Square Error) in the
    output of comp_fit().
  - Fixed a misclassification issue where models with a dependent
    variable named "log" were incorrectly identified as power regression
    when using type = "auto".
  - Corrected "liner" to "linear" in various internal labels and
    documentation to ensure consistency with standard statistical
    terminology.

                 Changes in version 0.1.0 (2026-02-12)                  

  - First releases on CRAN.