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  "Title": "Complex-Valued Lasso and Complex-Valued Graphical Lasso",
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  "Description": "Implements 'glmnet'-style complex-valued lasso (CLASSO)\nand complex-valued graphical lasso (CGLASSO) via a pathwise\ncoordinate descent algorithm for complex-valued parameters,\nusing an isomorphism between complex numbers and 2x2 orthogonal\nmatrices. Also provides a full inference pipeline for\nhigh-dimensional sparse spectral precision matrices, including\ndata-driven bandwidth selection, one-step debiasing, asymptotic\nvariance estimation, entry-wise confidence regions, and\nFDR-controlled hypothesis testing. Supporting tools for\ncross-validation, simulation, coefficient extraction, and\nplotting are included. See Deb, Kuceyeski, and Basu (2024)\n<doi:10.48550/arXiv.2401.11128> and Deb, Kim, and Basu (2026)\n<doi:10.48550/arXiv.2606.07986>.",
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      "title": "Complex-valued Lasso, graphical Lasso, and spectral inference",
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      "title": "fit a complex-valued graphical lasso",
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