Fitting Exact Conditional Logistic Regression with Lasso and Elastic Net Penalties
Overview
Tools for the fitting and cross validation of exact conditional logistic regression models with lasso and elastic net penalties. Uses cyclic coordinate descent and warm starts to compute the entire path efficiently.
Install
Health
- OK13 OK2026-09-30
- NOTE14 NOTE2026-04-22
- ERROR13 NOTE, 1 ERROR2026-04-18
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 8includes a package overview page
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 67%
- Return-value docs
- 43%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing clogitL1 adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- 1.6Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- unarchivedReturned to CRAN2019-02-02
- 1.52019-02-02 · diff ↗
- archivedRemoved from CRAN2018-06-17check problems were not corrected despite reminders
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2013-06-14
- Total releases
- 7 / 13 yrs
- License
- GPL-2 OSI
- Download size
- 16 KB
Cite
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Run in R for the authors' entry:
citation("clogitL1")The package provides a citation file, so citation() returns the authors' own entry.
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