https://vcmaxouuu.r-universe.devRecent package updates in vcmaxouuuR-universehttps://github.com/vcmaxouuu.pnghttps://vcmaxouuu.r-universe.devThu, 04 Jun 2026 12:55:45 GMTmaxime.vancutsem@unige.ch (Maxime van Cutsem)Sparse regression and classification via the Pivotal Information Criterion (PIC), an alternative to the Bayesian Information Criterion (BIC), cross-validation, and Lasso-based tuning. The regularization parameter is selected from a pivotal null-distribution statistic, eliminating the need for cross-validation and yielding sharper support recovery. Provides Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) optimization for the L1, Smoothly Clipped Absolute Deviation (SCAD), and Minimax Concave Penalty (MCP) penalties across six response distributions: Gaussian, binomial, Poisson, exponential, Gumbel, and Cox. Under standard sparsity assumptions, the selector achieves a phase transition for exact support recovery, analogous to results in compressed sensing. See Sardy, van Cutsem and van de Geer (2026) <doi:10.48550/arXiv.2603.04172>.https://github.com/r-universe/vcmaxouuu/actions/runs/26956731237Thu, 04 Jun 2026 12:55:45 GMTpicreg0.1.3successhttps://vcmaxouuu.r-universe.devhttps://github.com/vcmaxouuu/picregvignette.Rmdvignette.htmlAn introduction to picreg2026-05-26 16:30:452026-06-04 12:45:06