glmtlp: Truncated Lasso Regularized Generalized Linear Models

It provides an extremely efficient procedure for fitting the entire truncated lasso regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. The algorithm uses the difference of convex technique. The detail of the algorithm is described in Shen, Pan and Zhu (2012) <doi:10.1080/01621459.2011.645783>. The package is inherited from a popular R package 'glmnet' and many functions in 'glmnet' can be directly used in 'glmtlp'. You can learn more details by the online manual (<http://wuchong.org/glmtlp.html>).

Version: 1.1
Depends: R (≥ 3.1.1), glmnet
Published: 2018-02-07
Author: Chong Wu and Wei Pan
Maintainer: Chong Wu <wuxx0845 at umn.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: glmtlp results

Downloads:

Reference manual: glmtlp.pdf
Package source: glmtlp_1.1.tar.gz
Windows binaries: r-devel: glmtlp_1.1.zip, r-release: glmtlp_1.1.zip, r-oldrel: glmtlp_1.1.zip
OS X El Capitan binaries: r-release: glmtlp_1.1.tgz
OS X Mavericks binaries: r-oldrel: not available

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