Package: msgl
Type: Package
Title: High dimensional multiclass classification using sparse group
        lasso
Version: 0.1.05
Date: 2013-20-05
Author: Martin Vincent
Maintainer: Martin Vincent <vincent@math.ku.dk>
Description: Sparse group lasso multiclass classification, suitable for
        high dimensional problems with many classes. Fast algorithm for
        solving the multinomial sparse group lasso convex optimization
        problem. This package apply template metaprogramming
        techniques, therefore -- when compiling the package from source
        -- a high level of optimization is needed to gain full speed
        (e.g. for the GCC compiler use -O3). Use of multiple processors
        for cross validation and subsampling is supported through
        OpenMP. The Armadillo C++ library is used as the primary linear
        algebra engine. Armadillo is licensed under the MPL 2.0. The
        Armadillo C++ library is primarily developed at NICTA
        (Australia) by Conrad Sanderson, with contributions from around
        the world. Furthermore the package utilize various Boost
        libraries, in particular the Tuple library by Jaakko Jarvi and
        the Random library by Jens Maurer. The Boost libraries are
        licensed under the Boost Software License.
URL: http://arxiv.org/abs/1205.1245 http://arma.sourceforge.net/,
        http://www.boost.org/
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 3.0.0), Matrix
LinkingTo: Rcpp, RcppProgress, RcppArmadillo, BH
Collate: 'msgl_multinomial.R'
Packaged: 2013-11-18 12:16:11 UTC; martin
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-11-18 13:51:02
