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Using the idea of least trimmed square, it could automatically detects and removes outliers from data before estimating the coefficients. It is a robust machine learning tool which can be applied to gene-expression deconvolution technique. Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei and Yuying Xie (2019) <doi:10.1101/358366>.
Package details |
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Author | Yuning Hao [aut], Ming Yan [aut], Blake R. Heath [aut], Yu L. Lei [aut], Yuying Xie [aut, cre] |
Maintainer | Yuying Xie <xyy@egr.msu.edu> |
License | MIT + file LICENSE |
Version | 1.0.1 |
Package repository | View on CRAN |
Installation |
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