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NRMstatsML  

Statistical and Machine Learning Engine for Long-Term Natural Resource Management Data
View on CRAN: Click here


Download and install NRMstatsML package within the R console
Install from CRAN:
install.packages("NRMstatsML")

Install from Github:
library("remotes")
install_github("cran/NRMstatsML")

Install by package version:
library("remotes")
install_version("NRMstatsML", "0.1.4")



Attach the package and use:
library("NRMstatsML")
Maintained by
Sadikul Islam
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-07
Latest Update: 2026-06-07
Description:
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>.
How to cite:
Sadikul Islam (2026). NRMstatsML: Statistical and Machine Learning Engine for Long-Term Natural Resource Management Data. R package version 0.1.4, https://cran.r-project.org/web/packages/NRMstatsML. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for NRMstatsML
Functions, R codes and Examples using the NRMstatsML R package
Full NRMstatsML package functions and examples
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