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  "Package": "fbrglm",
  "Title": "Safe Formula-Based Regularized Generalized Linear Models",
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  "Description": "A formula-based wrapper around 'glmnet' that brings the\n'glm()'-compatible modeling workflow to regularized generalized\nlinear models. Training-time 'terms', 'xlevels', and\n'contrasts' are stored on the fit object and reused at predict\ntime, so the design matrix is reconstructed consistently across\nsessions. Complete-case bookkeeping is exposed via 'nobs_info',\nand linearly dependent columns are detected by a QR pivot and\nreported as 'NA' in 'coef()' and 'summary()' (the\n'stats::glm()' convention), distinguishing \"not identifiable\"\nfrom \"shrunk to zero by the penalty\". Novel factor levels at\npredict time raise the same error 'stats::predict.glm()' does\nby default, with 'on_new_levels = \"na\"' as a production-style\nopt-in. Accepts character family strings ('gaussian',\n'binomial', 'poisson', 'cox', 'multinomial', 'mgaussian') and\nany 'glm' family object the underlying 'glmnet' itself accepts,\nincluding 'Gamma' and fixed-theta negative binomial via\n'MASS::negative.binomial'.",
  "URL": "https://github.com/dsc-chiba-u/fbrglm",
  "BugReports": "https://github.com/dsc-chiba-u/fbrglm/issues",
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    "User": "root"
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  "Author": "Koki Tsuyuzaki [aut, cre]",
  "Maintainer": "Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-06-22 18:31:30 UTC",
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