R: Statistical and Machine Learning Engine for Long-Term Natural Resource Management Data

# Statistical and Machine Learning Engine for Long-Term Natural Resource Management Data

## Documentation for package ‘NRMstatsML’ version 0.1.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

NRMstatsML-package | NRMstatsML: Statistical and Machine Learning Engine for Long-Term NRM Data
NRMstatsML | 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