Package: cxreg
Title: Complex-Valued Lasso and Complex-Valued Graphical Lasso
Version: 1.1.2
Authors@R: c(
    person("Younghoon", "Kim", , "ykim124@ua.edu", role = c("aut", "cre")),
    person("Navonil", "Deb", role = "aut"),
    person("Sumanta", "Basu", role = "aut")
  )
Description: Implements 'glmnet'-style complex-valued lasso (CLASSO) and
    complex-valued graphical lasso (CGLASSO) via a pathwise coordinate
    descent algorithm for complex-valued parameters, using an isomorphism
    between complex numbers and 2x2 orthogonal matrices. Also provides a
    full inference pipeline for high-dimensional sparse spectral precision
    matrices, including data-driven bandwidth selection, one-step
    debiasing, asymptotic variance estimation, entry-wise confidence
    regions, and FDR-controlled hypothesis testing. Supporting tools for
    cross-validation, simulation, coefficient extraction, and plotting are
    included. See Deb, Kuceyeski, and Basu (2024)
    <doi:10.48550/arXiv.2401.11128> and Deb, Kim, and Basu (2026)
    <doi:10.48550/arXiv.2606.07986>.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: fields, foreach, gdata, grDevices, Matrix, methods, mvtnorm,
        stats, utils
Suggests: devtools, doParallel, knitr, rmarkdown, testthat (>= 3.0.0),
        tinytex, tools, xfun
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2026-06-26 16:46:09 UTC; yhkim
Author: Younghoon Kim [aut, cre],
  Navonil Deb [aut],
  Sumanta Basu [aut]
Maintainer: Younghoon Kim <ykim124@ua.edu>
Repository: CRAN
Date/Publication: 2026-07-05 20:30:17 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-07-05 23:51:38 UTC; windows
Archs: x64
