Package: FLEDA
Title: Exploratory Data Analysis for FLR
Version: 1.4-3
Author: Ernesto Jardim & Manuela Azevedo
Description: Develops several procedures to explore fisheries data
Depends: methods, R(>= 2.5.0), FLCore(>= 1.4-4), lattice
Maintainer: Ernesto Jardim <ernesto@ipimar.pt>
License: GPL 2
Packaged: Mon Apr 30 11:25:58 2007; ernesto

Title: Farewell’s Linear Increments Model
Author: Rune Hoff with contributions from Jon Michael Gran and Daniel Farewell
Description: FLIM fits linear models for the observed increments in a longitudinal dataset, and imputes missing values according to the models.

Author: Gen Nowak, Trevor Hastie, Jonathan R. Pollack, Robert
Description: 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

Authors@R: c(person("Gen", "Nowak", role = c("aut","cre"), email = "gen.nowak@gmail.com"), person("Trevor", "Hastie", role = "aut"), person(c("Jonathan", "R."), "Pollack", role = "aut"), person("Robert", "Tibshirani", role = "aut"), person("Nicholas", "Johnson", role = "aut"))
Description: 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.

Author: Constantinos Mavridis and Ioannis N. Athanasiadis
Description: FLR algorithm for classification

Maintainer: Charlie Wusuo Liu <liuwusuo@gmail.com>
Description: Solve an approximate Subset Sum Problem by introducing a recursive
Packaged: 2014-05-28 23:31:28 UTC; Charles Liu