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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'.
| Version: | 0.0.1 |
| Imports: | glmnet, stats, graphics |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, survival, MASS |
| Published: | 2026-06-22 |
| DOI: | 10.32614/CRAN.package.fbrglm |
| Author: | Koki Tsuyuzaki [aut, cre] |
| Maintainer: | Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp> |
| BugReports: | https://github.com/dsc-chiba-u/fbrglm/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/dsc-chiba-u/fbrglm |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | fbrglm results |
| Reference manual: | fbrglm.html , fbrglm.pdf |
| Vignettes: |
Families and model types in fbrglm (source, R code) Getting started with fbrglm (source, R code) |
| Package source: | fbrglm_0.0.1.tar.gz |
| Windows binaries: | r-devel: fbrglm_0.0.1.zip, r-release: fbrglm_0.0.1.zip, r-oldrel: fbrglm_0.0.1.zip |
| macOS binaries: | r-release (arm64): fbrglm_0.0.1.tgz, r-oldrel (arm64): fbrglm_0.0.1.tgz, r-release (x86_64): fbrglm_0.0.1.tgz, r-oldrel (x86_64): fbrglm_0.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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