methods, R(>= 2.2.0), FLCore(>= 1.2-0), lattice

methods, R(>= 2.5.0), FLCore(>= 1.4-4), lattice

Rune Hoff with contributions from Jon Michael Gran and Daniel Farewell
FLIM fits linear models for the observed increments in a longitudinal dataset, and imputes missing values according to the models.

Gen Nowak, Trevor Hastie, Jonathan R. Pollack, Robert
Tibshirani and Nicholas Johnson.
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.

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"))
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.
Gen Nowak [aut, cre],
Trevor Hastie [aut],
Jonathan R. Pollack [aut],
Robert Tibshirani [aut],
Nicholas Johnson [aut]

Constantinos Mavridis and Ioannis N. Athanasiadis

Solve an approximate Subset Sum Problem by introducing a recursive
compression algorithm.

Solve an approximate Subset Sum Problem by introducing a recursive compression algorithm

Solve an approximate Subset Sum Problem by introducing a recursive
compression algorithm

Solve an approximate Subset Sum Problem via a recursive compression algorithm

Multithreaded Fixed Size Subset Sum with Bounded Error in
Multidimensional Real Domain
A novel algorithm for solving the fixed size Subset Sum Problem with bounded error in multidimensional real domain.