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.

AuthorGen Nowak [aut, cre], Trevor Hastie [aut], Jonathan R. Pollack [aut], Robert Tibshirani [aut], Nicholas Johnson [aut]
Date of publication2015-09-16 12:47:04
MaintainerGen Nowak <gen.nowak@gmail.com>
LicenseGPL (>= 2)
Version1.2

View on CRAN

Files

FLLat
FLLat/inst
FLLat/inst/doc
FLLat/inst/doc/FLLat_tutorial.rnw
FLLat/inst/doc/FLLat_tutorial.R
FLLat/inst/doc/FLLat_tutorial.pdf
FLLat/src
FLLat/src/L2L1VitExact.c
FLLat/src/Lat_L2.cpp
FLLat/src/gen_lat_func.h
FLLat/src/gen_lat_func.cpp
FLLat/src/FL.h
FLLat/NAMESPACE
FLLat/NEWS
FLLat/data
FLLat/data/simaCGH.RData
FLLat/R
FLLat/R/plot.PVE.R FLLat/R/FLLat.BIC.R FLLat/R/plot.FDR.R FLLat/R/FLLat.PVE.R FLLat/R/Max.Lam0.R FLLat/R/predict.FLLat.R FLLat/R/FLLat.FDR.R FLLat/R/CheckPars.R FLLat/R/FLLat.R FLLat/R/plot.FLLat.R
FLLat/vignettes
FLLat/vignettes/FLLat_tutorial.rnw
FLLat/MD5
FLLat/build
FLLat/build/vignette.rds
FLLat/DESCRIPTION
FLLat/man
FLLat/man/plot.FLLat.Rd FLLat/man/FLLat.FDR.Rd FLLat/man/FLLat.PVE.Rd FLLat/man/simaCGH.Rd FLLat/man/FLLat.Rd FLLat/man/FLLat.BIC.Rd FLLat/man/predict.FLLat.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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