README.md
In yixinww/ltsspca: Sparse Principal Component Based on Least Trimmed Squares
LTS-SPCA
This is a fast method for sparse and robust principal component analysis.
Reference:
Y. Wang and S. Van Aelst (2019). Sparse Principal Component Based on Least Trimmed Squares. Technometrics, accepted. DOI:10.1080/00401706.2019.1671234.
yixinww/ltsspca documentation built on Nov. 5, 2019, 1:20 p.m.
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LTS-SPCA
This is a fast method for sparse and robust principal component analysis.
Reference:
Y. Wang and S. Van Aelst (2019). Sparse Principal Component Based on Least Trimmed Squares. Technometrics, accepted. DOI:10.1080/00401706.2019.1671234.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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