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TraceAssist: Nonparametric Trace Regression via Sign Series Representation

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. <doi:10.48550/arXiv.2105.01783>. The method employs the aggregation of structured sign series for trace regression (ASSIST) algorithm.

Version: 0.1.0
Imports: quadprog, Matrix, glmnet, keras
Published: 2021-05-10
Author: Chanwoo Lee, Lexin Li, Hao Helen Zhang, Miaoyan Wang
Maintainer: Chanwoo Lee <chanwoo.lee at wisc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://arxiv.org/abs/2105.01783
NeedsCompilation: no
Materials: README
CRAN checks: TraceAssist results

Documentation:

Reference manual: TraceAssist.pdf

Downloads:

Package source: TraceAssist_0.1.0.tar.gz
Windows binaries: r-devel: TraceAssist_0.1.0.zip, r-release: TraceAssist_0.1.0.zip, r-oldrel: TraceAssist_0.1.0.zip
macOS binaries: r-release (arm64): TraceAssist_0.1.0.tgz, r-oldrel (arm64): TraceAssist_0.1.0.tgz, r-release (x86_64): TraceAssist_0.1.0.tgz, r-oldrel (x86_64): TraceAssist_0.1.0.tgz

Linking:

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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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