Complex-Valued Lasso and Complex-Valued Graphical Lasso R package cxreg version 1.1.4 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>. Software 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 Younghoon Kim <ykim124@ua.edu> Comprehensive R Archive Network (CRAN) Younghoon Kim [aut, cre], Navonil Deb [aut], Sumanta Basu [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=cxreg/LICENSE) 2026-07-11 application/tgz https://CRAN.R-project.org/package=cxreg doi:10.32614/CRAN.package.cxreg