{
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  "Title": "Sorted L1 Penalized Estimation",
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  "Description": "Efficient implementations for Sorted L-One Penalized\nEstimation (SLOPE): generalized linear models regularized with\nthe sorted L1-norm (Bogdan et al. 2015). Supported models\ninclude ordinary least-squares regression, binomial regression,\nmultinomial regression, and Poisson regression. Both dense and\nsparse predictor matrices are supported. In addition, the\npackage features predictor screening rules that enable fast and\nefficient solutions to high-dimensional problems.",
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  "Date/Publication": "2026-06-09 10:50:45 UTC",
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  "Maintainer": "Johan Larsson <johan@jolars.co>",
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