https://yk748.r-universe.devRecent package updates in yk748R-universehttps://github.com/yk748.pnghttps://yk748.r-universe.devSun, 23 Aug 2026 18:46:24 GMTykim124@ua.edu (Younghoon Kim)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>.https://github.com/r-universe/yk748/actions/runs/40184352907Sun, 23 Aug 2026 18:46:24 GMTcxreg1.1.4successhttps://yk748.r-universe.devhttps://github.com/yk748/cxregcxreg.Rmdcxreg.pdfAn Introduction to cxreg2025-07-01 23:28:252026-08-23 18:39:35cxreg-inference.Rmdcxreg-inference.pdfInference for Sparse Spectral Precision Matrices with cxreg2026-08-23 18:39:352026-08-23 18:39:35