NRMstatsML: Statistical and Machine Learning Engine for Long-Term Natural Resource Management Data
A comprehensive toolkit for statistical and machine learning-based analysis of long-term Natural Resource Management (NRM) datasets. Integrates formula-driven approaches, statistical inference, and machine learning (ML) models for advanced analytics. Modules cover trend and structural analysis (Mann-Kendall test, slope estimation, Chow test, structural break detection), multivariate system modelling (Partial Least Squares (PLS), Structural Equation Modelling (SEM)), response curve optimisation, time-series forecasting (Autoregressive Integrated Moving Average (ARIMA), hybrid models), panel data and treatment effects (Difference-in-Differences (DiD), causal machine learning), uncertainty and sensitivity analysis (bootstrap, Monte Carlo, Bayesian), and automated model selection and performance comparison. Designed for long-term datasets covering soil, water, crop, and climate domains. Key references: Mann and Kendall (1945) <doi:10.2307/1907187>; Sen (1968) <doi:10.1080/01621459.1968.10480934>; Bai and Perron (2003) <doi:10.1002/jae.659>; Rosseel (2012) <doi:10.18637/jss.v048.i02>; Croissant and Millo (2008) <doi:10.18637/jss.v027.i02>.
| Version: | 0.1.4 |
| Depends: | R (≥ 4.1.0) |
| Imports: | Kendall (≥ 2.2), trend (≥ 1.1.4), strucchange (≥ 1.5.3), plm (≥ 2.6.0), forecast (≥ 8.20), lavaan (≥ 0.6.12), pls (≥ 2.8.0), caret (≥ 6.0.93), boot (≥ 1.3.28), ggplot2 (≥ 3.4.0), rlang (≥ 1.1.0), stats, utils |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, keras, tensorflow, BayesianTools, sensitivity, mboost, mlr3, covr |
| Published: | 2026-06-07 |
| DOI: | 10.32614/CRAN.package.NRMstatsML (may not be active yet) |
| Author: | Sadikul Islam 
[aut, cre, cph] |
| Maintainer: | Sadikul Islam <sadikul.islamiasri at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | NRMstatsML citation info |
| Materials: | README, NEWS |
| CRAN checks: | NRMstatsML results |
Documentation:
| Reference manual: | NRMstatsML.html , NRMstatsML.pdf |
| Vignettes: |
Advanced Modelling Workflows with NRMstatsML (source, R code) Getting Started with NRMstatsML (source, R code) |
Downloads:
| Package source: | NRMstatsML_0.1.4.tar.gz |
| Windows binaries: | r-devel: NRMstatsML_0.1.4.zip, r-release: not available, r-oldrel: NRMstatsML_0.1.4.zip |
| macOS binaries: | r-release (arm64): NRMstatsML_0.1.4.tgz, r-oldrel (arm64): NRMstatsML_0.1.4.tgz, r-release (x86_64): NRMstatsML_0.1.4.tgz, r-oldrel (x86_64): NRMstatsML_0.1.4.tgz |
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