Changes in version 0.1.0                        

New features

  - trendML module: nrm_trend(), nrm_mann_kendall(), nrm_sens_slope(),
    nrm_structural_break() — non-parametric trend detection and
    Bai-Perron structural break analysis.

  - multiSysML module: nrm_multivariate(), nrm_pls(), nrm_sem() — scaled
    OLS, Partial Least Squares, and Structural Equation Modelling.

  - responseML module: nrm_response_curve() (quadratic, linear, and
    Mitscherlich types) and nrm_optimize_input() for economic optimum
    calculation.

  - tsML module: nrm_arima() and nrm_forecast() wrapping
    forecast::auto.arima() with 95 % prediction intervals.

  - panelML module: nrm_panel() (fixed/random effects with Hausman test)
    and nrm_did() (Difference-in-Differences).

  - uncertaintyML module: nrm_bootstrap(), nrm_monte_carlo(), and
    unified nrm_uncertainty() dispatcher.

  - autoML module: nrm_automl() for automated cross-validated model
    selection and nrm_benchmark() for hold-out evaluation.

  - Generic helpers: nrm_data_check(), nrm_summary(), nrm_plot().

  - Example dataset nrm_example: 20-year synthetic NRM time series.

  - Vignette: Getting Started with NRMstatsML.