Changes in version 0.2.4 (2026-05-28)                  

================================================================================

  - Bug fixed:
      - Fixed: Replace Rf_error with Rcpp::stop (Calls to Rf_error #11).

                 Changes in version 0.2.3 (2026-01-26)                  

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  - Bug fixed:
      - Fixed bug in predict_selected related to the 'AICw' rounded
        values.

                 Changes in version 0.2.2 (2025-12-14)                  

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  - Functions update:
      - add flag "show_lines" (Default = TRUE) in response_curve()
        function.

                 Changes in version 0.2.1 (2025-06-12)                  

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  - Bug Fixes:
      - Fixed bug in plot_niche_signal related to the 'lwd' argument
        handling.
      - Fixed bug in plot_importance that caused an error when the model
        list contained only one model.

                 Changes in version 0.2.0 (2025-04-29)                  

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  - Bug Fixes:
      - var_importance() now generates a bar plot even when the model
        list contains a single model, instead of throwing an error.
    
      - get_formulas() now returns the correct count of generated
        formulas when mode = "intensive".

                 Changes in version 0.1.9 (2024-12-20)                  

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  - New Functions:
    
      - Added three new functions: resp2var(), jackknife(), and
        plot_jk().
          - resp2var(): Transforms species probability data into a
            two-dimensional environmental space for visualization.
          - jackknife(): Evaluates the influence of each variable on the
            overall model using four distinct metrics: ROC-AUC, TSS,
            AICc, and Deviance. This function facilitates jackknife
            resampling to assess variable importance.
          - plot_jk(): A function to plot the results of the jackknife
            resampling.

  - Bug Fixes:
    
      - Fixed a bug in calibration_glm() related to runtime calculation
        errors.

                 Changes in version 0.1.8 (2024-06-19)                  

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  - New Classes:
    
      - Added two new classes: enmpa_calibration and
        enmpa_fitted_models.
          - These classes help manage the list outputs from the
            functions calibration_glm and fit_selected.
          - Each class has two associated methods: summary() and
            print(), which provide summaries and print representations
            of the objects, respectively.

  - Updates to predict_glm:
    
      - Added a new flag extrapolation_type to indicate the type of
        extrapolation:
          - "E": Free extrapolation
          - "NE": No extrapolation
          - "EC": Extrapolation with clamping
      - The flag var_to_clamp was replaced by restricted_vars.
      - The flag clamping was removed.

  - Updates to model_validation:
    
      - Now includes 'residual deviance' as a validation metric.

                 Changes in version 0.1.5 (2023-12-01)                  

================================================================================

  - Initial CRAN submission.