Description: Multinomial logistic regression with sparse group lasso penalty.
Simultaneous feature selection and parameter estimation for classification.
Suitable for high dimensional multiclass classification with many classes. The
algorithm computes the sparse group lasso penalized maximum likelihood estimate.
Use of multiple processors for cross validation and subsampling is supported through
OpenMP. Development version is on github, please report package issues on
Depends: R (>= 3.0.0), Matrix, sglOptim (== 1.2.2)

the 'foreach' and 'doParallel' packages. Development version is on GitHub, please
Depends: R (>= 3.0.0), Matrix, sglOptim (== 1.3.0)

Use of parallel computing for cross validation and subsampling is supported
through the 'foreach' and 'doParallel' packages. Development version is on

Description: Multinomial logistic regression with sparse group lasso
penalty. Simultaneous feature selection and parameter
estimation for classification. Suitable for high dimensional
multiclass classification with many classes. The algorithm
computes the sparse group lasso penalized maximum likelihood
estimate. Use of parallel computing for cross validation and
subsampling is supported through the 'foreach' and 'doParallel'
packages. Development version is on GitHub, please report

person("Martin", "Vincent", role = "aut"),
person("Niels", "Richard Hansen", email = "niels.r.hansen@math.ku.dk", role = c("ctb", "cre"))
Depends: R (>= 3.2.4), Matrix, sglOptim (>= 1.3.7)
Maintainer: Niels Richard Hansen <niels.r.hansen@math.ku.dk>

Title: A Compact, High Speed Data Format
Authors@R: c(person("Peter", "Meilstrup", email="peter.meilstrup@gmail.com", role=c("aut", "cre", "cph")),
person("Björn", "Höhrmann", role=c("ctr", "cph"), email="bjoern@hoehrmann.de"))
Description: A fast C-based encoder and streaming decoder for the
'messagepack' data format. 'Messagepack' is similar in structure
to 'JSON' but uses a more compact binary encoding. Based on the
Author: Peter Meilstrup [aut, cre, cph],

Title: A library to serialize or unserialize data in MessagePack format
Description: This is the library that can serialize or unserialize