pcLasso
1.2Principal Components Lasso
Overview
A method for fitting the entire regularization path of the principal components lasso for linear and logistic regression models. The algorithm uses cyclic coordinate descent in a path-wise fashion. See URL below for more information on the algorithm. See Tay, K., Friedman, J. ,Tibshirani, R., (2014) 'Principal component-guided sparse regression' arXiv:1810.04651.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-109 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 2.0 median / 39 max
- Documented parameters
- 85%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
13 4 exported
Complexity
6.8 avg / 39 max
Call network
13 nodes / 5 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
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People & History
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3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- 1.2Latest
- unarchivedReturned to CRAN2020-09-04
- archivedRemoved from CRAN2020-07-08check problems were not corrected despite reminders LTO errors
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.12019-02-06 · diff ↗
- 1.02019-01-11
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-01-11
- Total releases
- 3 / 7 yrs
- License
- GPL-3 OSI
- Download size
- 109 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet