Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares R package FARDEEP version 1.0.1 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>. Software Depends: R (>= 3.3.0) Imports: nnls(>= 1.4), stats, preprocessCore Yuying Xie <xyy@egr.msu.edu> Comprehensive R Archive Network (CRAN) Yuning Hao [aut], Ming Yan [aut], Blake R. Heath [aut], Yu L. Lei [aut], Yuying Xie [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=FARDEEP/LICENSE) 2019-04-24 application/tgz https://CRAN.R-project.org/package=FARDEEP doi:10.32614/CRAN.package.FARDEEP