Package: LMDT
Type: Package
Title: Local Manifold Dispersion Test for Heteroskedasticity
Version: 0.1.0
Authors@R: person(given = "Ahmed Sattar",
                  family = "Jabbar",
                  role = c("aut", "cre"),
                  email = "ahmed.state.me@gmail.com")
Description: Implements the Local Manifold Dispersion Test (LMDT) for
        detecting complex, non-linear, and high-dimensional
        heteroskedasticity in linear regression models. LMDT measures
        the spectral smoothness (Dirichlet energy) of robust
        log-dispersion residuals over a self-tuning k-nearest neighbors
        graph Laplacian, as formulated in Jabbar (2026). The test
        statistic is asymptotically distribution-free with respect to
        error kurtosis and accommodates high-dimensional covariates (p
        > 50) via Gavish-Donoho optimal hard thresholding and
        supervised metric learning.
License: GPL (>= 3)
URL: https://amjed-droid.github.io/LMDT/,
        https://github.com/amjed-droid/LMDT
BugReports: https://github.com/amjed-droid/LMDT/issues
Depends: R (>= 4.0.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2026-10-24 11:23:32 UTC; root
Author: Ahmed Sattar Jabbar [aut, cre]
Maintainer: Ahmed Sattar Jabbar <ahmed.state.me@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-24 11:17:13 UTC
RemoteUrl: https://github.com/cran/LMDT
RemoteRef: HEAD
RemoteSha: 18b366edeaddc40e70337a444066db6ca326780d