Package: NRMstatsML
Type: Package
Title: Statistical and Machine Learning Engine for Long-Term Natural
        Resource Management Data
Version: 0.1.4
Authors@R: 
    person(
        given = "Sadikul",
        family = "Islam",
        email = "sadikul.islamiasri@gmail.com",
        role = c("aut", "cre", "cph"),
        comment = c(ORCID = "0000-0003-2924-7122")
    )
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>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Language: en-US
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
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-10-16 06:16:31 UTC; root
Author: Sadikul Islam [aut, cre, cph] (ORCID:
        <https://orcid.org/0000-0003-2924-7122>)
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Config/pak/sysreqs: libicu-dev
Repository: https://sadikulislamiasri-hub.r-universe.dev
Date/Publication: 2026-06-07 18:30:08 UTC
RemoteUrl: https://github.com/cran/NRMstatsML
RemoteRef: HEAD
RemoteSha: f2bfeca18b07c45d9f58d1fb43c8aae4231e53a8