Independently Interpretable Lasso
Overview
Efficient algorithms for fitting linear / logistic regression model with Independently Interpretable Lasso. Takada, M., Suzuki, T., & Fujisawa, H. (2018). Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables. AISTATS. http://proceedings.mlr.press/v84/takada18a/takada18a.pdf.
- Bug fix. (covariance matrix, random seed)
From NEWS.md in the release
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Documentation
- Help pages
- 21 (13 internal)
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 99%
- Return-value docs
- 75%
- Help pages citing references
- 0%
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Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-12-05issues were not corrected despite reminders
- 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
- 0.0.22018-06-21 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.0.12018-04-16
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-04-16
- Total releases
- 2 / 8 yrs
- License
- MIT + file LICENSE OSI
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