FLLat: Fused Lasso Latent Feature Model

Fits the Fused Lasso Latent Feature model, which is used for modeling multi-sample aCGH data to identify regions of copy number variation (CNV). Produces a set of features that describe the patterns of CNV and a set of weights that describe the composition of each sample. Also provides functions for choosing the optimal tuning parameters and the appropriate number of features, and for estimating the false discovery rate.

Version: 1.2-1
Imports: graphics, stats, gplots
Published: 2017-05-23
DOI: 10.32614/CRAN.package.FLLat
Author: Gen Nowak [aut, cre], Trevor Hastie [aut], Jonathan R. Pollack [aut], Robert Tibshirani [aut], Nicholas Johnson [aut]
Maintainer: Gen Nowak <gen.nowak at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: FLLat results


Reference manual: FLLat.pdf
Vignettes: FLLat Tutorial


Package source: FLLat_1.2-1.tar.gz
Windows binaries: r-devel: FLLat_1.2-1.zip, r-release: FLLat_1.2-1.zip, r-oldrel: FLLat_1.2-1.zip
macOS binaries: r-release (arm64): FLLat_1.2-1.tgz, r-oldrel (arm64): FLLat_1.2-1.tgz, r-release (x86_64): FLLat_1.2-1.tgz, r-oldrel (x86_64): FLLat_1.2-1.tgz
Old sources: FLLat archive


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