Package: ReguGLH
Type: Package
Title: General Linear Hypothesis Tests via Spectral Shrinkage
Version: 0.1.0
Authors@R: person("Haoran", "Li", role = c("aut", "cre"), email = "hzl0152@auburn.edu")
Contact: Haoran Li <haoranli1990@gmail.com> (secondary email)
Description: Implements high-dimensional general linear hypothesis
        tests using ridge, reciprocal cubic polynomial, and
        user-defined analytic spectral regularizers. Provides
        prior-based shrinkage selection and Gaussian maximum
        calibration for composite tests. Implements the methods of Li,
        Aue and Paul (2020), "High-dimensional general linear
        hypothesis tests via non-linear spectral shrinkage", Bernoulli,
        26(4), 2541-2571 <doi:10.3150/19-BEJ1186>.
License: GPL-3
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-10-27 23:58:44 UTC; root
Author: Haoran Li [aut, cre]
Maintainer: Haoran Li <hzl0152@auburn.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-27 18:40:08 UTC
RemoteUrl: https://github.com/cran/ReguGLH
RemoteRef: HEAD
RemoteSha: 6931c866a5d44264d87d90ea43175253e00583f6