Package: RidgeLRGLH
Type: Package
Title: Ridge-Regularized Largest Root Tests for General Linear
        Hypotheses
Version: 0.1.0
Authors@R: person("Haoran", "Li", email = "hzl0152@auburn.edu", role = c("aut", "cre"))
Description: Tests general linear hypotheses in high-dimensional
        multivariate regression using a ridge-regularized largest root
        statistic. Estimates the population spectral distribution by
        linear programming and computes Tracy-Widom centering and
        scaling constants. Supports fixed, Bayesian, and minimax
        regularization choices. Implements the methods of Li (2025)
        <doi:10.48550/arXiv.2504.15510>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lpSolve, RMTstat, stats
NeedsCompilation: no
Packaged: 2026-10-28 19:20:11 UTC; root
Author: Haoran Li [aut, cre]
Maintainer: Haoran Li <hzl0152@auburn.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-28 10:30:27 UTC
RemoteUrl: https://github.com/cran/RidgeLRGLH
RemoteRef: HEAD
RemoteSha: 7fb41bcddce548353e144b8cd37b6e46cb5f4a7b