Package: FARDEEP
Title: Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte
        from Expression Profiles using Least Trimmed Squares
Version: 1.0.1
Authors@R: c(
           person("Yuning", "Hao",  role = c("aut")),
           person("Ming", "Yan",  role = c("aut")), 
           person("Blake R.", "Heath",  role = c("aut")),
           person("Yu L.", "Lei",  role = c("aut")),
           person("Yuying", "Xie", email = "xyy@egr.msu.edu", 
           role = c("aut","cre")))
Description: 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>.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Imports: nnls(>= 1.4), stats, preprocessCore
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2026-10-04 09:14:28 UTC; root
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>
Repository: https://yuyingxie.r-universe.dev
Date/Publication: 2019-04-24 14:10:03 UTC
RemoteUrl: https://github.com/cran/FARDEEP
RemoteRef: HEAD
RemoteSha: a35a92fe91112df4fbbaa70c390dbf9208252ec3