Package: ArvindSt
Title: Five Novel Stochastic Regression Models with Arvind-Distributed
        Errors and Effects
Version: 1.0.0
Authors@R: c(
    person("Shikhar", "Tyagi",
           email = "shikhar1093tyagi@gmail.com",
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-1606-0844")),
    person("Arvind", "Pandey",
           email = "arvindmzu@gmail.com",
           role = "aut")
    )
Description: Implements the 'Arvind' distribution and five novel
        stochastic regression models that replace the traditional
        Gaussian error assumption with 'Arvind'-distributed errors. The
        'Arvind' distribution is a flexible single-parameter continuous
        distribution on the positive real line characterised by a
        polynomial numerator with Gaussian-type decay. The package
        provides complete distribution functions (darvind(), parvind(),
        qarvind(), rarvind()), maximum likelihood estimation via
        fit_arvind_mle(), and five model-fitting routines: Random Walk
        on Coefficients via fit_rw1(), Time-Varying Coefficient Linear
        Model via fit_tvlm(), Simulation-Extrapolation via fit_simex(),
        Mixed-Effects Regression via fit_mixed(), and Regime-Switching
        Hidden Markov Model via fit_hmm(). Additionally provides Monte
        Carlo forecasting with prediction intervals via
        forecast_arvind(), comprehensive goodness-of-fit diagnostics
        (21 metrics and 25 plots) via diagnostics_arvind() and
        plot_arvind(), k-fold and rolling-window cross-validation via
        cv_arvind(), and unified model comparison via summary_arvind().
        For more details see Pandey, Singh, Tyagi, and Tyagi (2024)
        "Modelling climate, COVID-19, and reliability data: A new
        continuous lifetime model under different methods of
        estimation", Statistics and Applications, 22(2),
        <https://ssca.org.in/journal.html>.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils, ggplot2, forecast, tvReg,
        lme4, depmixS4, reshape2, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-03 12:10:38 UTC; root
Author: Shikhar Tyagi [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-1606-0844>), Arvind Pandey [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://cranhaven.r-universe.dev
Date/Publication: 2026-07-03 02:02:00 UTC
RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev
RemoteRef: package/ArvindSt
RemoteSha: 7d4b6275499f4fbf7af5a81a3f685eb37fec3864
RemoteSubdir: ArvindSt