Skip to content

NRMstatsML

0.1.4

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

0packages depend
508downloads / year
44.0%test coverage
13/13checks pass

Overview

About
Maintained by Sadikul IslamFirst published 2026-06-081 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.19
44.0%
Coverage · measured lines
100%
Documentation · exports
13
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-08
    8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 231 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
85%
Documented parameters
100%
Return-value docs
100%
References docs
30%

Downloads

508
CRAN downloads in the past year
Rank #21,635 · ~1/day · ~42/mo
Daily download trend is not available in this view yet.
13030 days
50890 days
5081 year
Compare downloads with other packages →
Also on15 r2u

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • 0.1.4Latest
    2026-06-08 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-06-08
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Bundled data
1.1 KB / 1 file
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NRMstatsML")
Islam, S. (2026). NRMstatsML: Statistical and Machine Learning Engine for Long-Term Natural Resource Management Data (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.NRMstatsML

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for NRMstatsML version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy