NRMstatsML-package      NRMstatsML: Statistical and Machine Learning
                        Engine for Long-Term NRM Data
nrm_arima               ARIMA model for NRM time series
nrm_automl              Automated model selection and tuning
nrm_benchmark           Benchmark model metrics on a hold-out test set
nrm_bootstrap           Bootstrap uncertainty estimation
nrm_data_check          Validate and summarise an NRM dataset
nrm_did                 Difference-in-Differences (DiD) estimator
nrm_example             Example long-term NRM dataset
nrm_forecast            Forecast NRM time series
nrm_mann_kendall        Mann-Kendall trend test
nrm_monte_carlo         Monte Carlo uncertainty simulation
nrm_multivariate        Multivariate regression for Natural Resource
                        Management systems
nrm_optimize_input      Optimise input level for maximum response
nrm_panel               Panel data regression for Natural Resource
                        Management experiments
nrm_plot                Generic plot for NRMstatsML objects
nrm_pls                 Partial Least Squares (PLS) regression
nrm_response_curve      Fit a response curve to NRM data
nrm_sem                 Structural Equation Modelling (SEM)
nrm_sens_slope          Sen's slope estimator
nrm_structural_break    Structural break detection
nrm_summary             Generic summary for NRMstatsML objects
nrm_trend               Comprehensive trend analysis for NRM time
                        series
nrm_uncertainty         Uncertainty analysis for NRM model outputs
