Package: fbrglm
Title: Safe Formula-Based Regularized Generalized Linear Models
Version: 0.0.1
Authors@R: 
    person(given = "Koki",
           family = "Tsuyuzaki",
           role = c("aut", "cre"),
           email = "k.t.the-answer@hotmail.co.jp")
Description: A formula-based wrapper around 'glmnet' that brings the
    'glm()'-compatible modeling workflow to regularized generalized
    linear models. Training-time 'terms', 'xlevels', and 'contrasts'
    are stored on the fit object and reused at predict time, so the
    design matrix is reconstructed consistently across sessions.
    Complete-case bookkeeping is exposed via 'nobs_info', and linearly
    dependent columns are detected by a QR pivot and reported as 'NA'
    in 'coef()' and 'summary()' (the 'stats::glm()' convention),
    distinguishing "not identifiable" from "shrunk to zero by the
    penalty". Novel factor levels at predict time raise the same error
    'stats::predict.glm()' does by default, with
    'on_new_levels = "na"' as a production-style opt-in. Accepts
    character family strings ('gaussian', 'binomial', 'poisson',
    'cox', 'multinomial', 'mgaussian') and any 'glm' family object the
    underlying 'glmnet' itself accepts, including 'Gamma' and
    fixed-theta negative binomial via 'MASS::negative.binomial'.
URL: https://github.com/dsc-chiba-u/fbrglm
BugReports: https://github.com/dsc-chiba-u/fbrglm/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: glmnet, stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, survival, MASS
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-06-17 12:12:59 UTC; koki
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2026-06-22 15:00:23 UTC
