Package: ArvindRF
Type: Package
Title: Random Forest Regression with Arvind Distribution Error Model
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("Aruna", "Rajballie", email = "aruna.rajballie@utt.edu.tt", role = "aut"),
    person("Vrijesh", "Tripathi", email = "vrijesh.tripathi@uwi.edu", role = "aut")
  )
Description: Implements Random Forest regression under the Arvind
        distribution error model. Provides core distribution functions
        (density, cumulative distribution, quantile, random generation,
        hazard, survival), parameter estimation via
        Expectation-Maximization (EM) and Markov Chain Monte Carlo
        (MCMC), non-parametric bootstrap confidence intervals (at 90%,
        95%, and 99% levels), Highest Posterior Density (HPD)
        intervals, model evaluation metrics (estimated values, bias,
        mean squared error, risk value), homoscedastic prediction
        intervals, and goodness-of-fit diagnostic tests
        (Kolmogorov-Smirnov and Anderson-Darling tests, Akaike
        Information Criterion, and Bayesian Information Criterion).
        References: Breiman (2001) <doi:10.1023/A:1010933404324>;
        Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.0.0)
Imports: ranger, coda, goftest, stats, graphics
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-21 09:40:04 UTC; root
Author: Shikhar Tyagi [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-1606-0844>), Aruna Rajballie
        [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: https://shikhartyagi.r-universe.dev
Date/Publication: 2026-08-21 13:10:53 UTC
RemoteUrl: https://github.com/cran/ArvindRF
RemoteRef: HEAD
RemoteSha: 22582ed64e31003a757d17a402e21fcca5ac8b1f