Nonparametric Trace Regression via Sign Series Representation
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Maintained by Chanwoo LeeCRAN page ↗
Efficient method for fitting nonparametric matrix trace regression model. The detailed description can be found in C. Lee, L. Li, H. Zhang, and M. Wang (2021). Nonparametric Trace Regression via Sign Series Representation. arXiv:2105.01783. The method employs the aggregation of structured sign series for trace regression (ASSIST) algorithm.
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Maintainer: ‘Chanwoo Lee <chanwoo.lee@wisc.edu>’
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Series Representation. <arXiv:2105.01783>. The method employs the
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
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- NOTE9 OK, 4 NOTE2026-06-09
- ERROR9 OK, 3 NOTE, 1 ERROR2026-06-08
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Maintainer since 0.1.0 (2021)
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- 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
- 0.1.0Latest2021-05-10 · current release
- RR 4.0.0 released · 2020-04-24
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Package metadata
- First published
- 2021-05-10
- Total releases
- 1 / 5 yrs
- License
- GPL (>= 2) OSI
- Download size
- 7.4 KB
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