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: 2026-10-18 02:07:20 UTC; haoranli
Author: Haoran Li [aut, cre]
Maintainer: Haoran Li <hzl0152@auburn.edu>
Repository: CRAN
Date/Publication: 2026-10-28 10:30:27 UTC
Built: R 4.7.0; ; 2026-10-29 11:29:47 UTC; windows
