Package: lassoscore
Title: High-Dimensional Inference with the Penalized Score Test
Description: Use the lasso regression method to perform approximate inference
in high dimensions, by penalizing the effects of nuisance parameters.
Version: 0.6
Author: Arie Voorman <arie.voorman@gmail.com>
Maintainer: Arie Voorman <arie.voorman@gmail.com>
Depends: R (>= 2.10), glasso, glmnet, Matrix
Suggests: covTest, lars
License: GPL (>= 2)
LazyData: true
Packaged: 2014-10-28 04:56:25 UTC; arie
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-28 08:10:02
Package: netgsa
Type: Package
Title: Network-Based Gene Set Analysis
Version: 3.0
Date: 2016-06-15
Author: Ali Shojaie and Jing Ma
Maintainer: Jing Ma <jinma@upenn.edu>
Description: Carry out Network-based Gene Set Analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data.
Depends: corpcor, Matrix, glasso, glmnet, igraph
Suggests: MASS
License: GPL (>= 2)
LazyLoad: yes
URL: http://arxiv.org/abs/1411.7919
NeedsCompilation: no
Packaged: 2016-06-16 15:41:43 UTC; jingma
Repository: CRAN
Date/Publication: 2016-06-16 18:27:48
Package: hglasso
Type: Package
Title: Learning graphical models with hubs
Version: 1.2
Date: 2014-08-09
Author: Kean Ming Tan
Maintainer: Kean Ming Tan <keanming@uw.edu>
Depends: glasso, mvtnorm, igraph
Imports: fields
Description: Implements the hub graphical lasso and hub covariance graph proposal by Tan, KM., London, P., Mohan, K., Lee, S-I., Fazel, M., and Witten, D. (2014). Learning graphical models with hubs. To appear in Journal of Machine Learning Research. arXiv.org/pdf/1402.7349.pdf.
License: GPL (>= 2)
Packaged: 2014-08-09 22:11:27 UTC; keanmingtan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-10 00:32:51
Package: sparseBC
Type: Package
Title: Sparse Biclustering of Transposable Data
Version: 1.1
Date: 2015-02-09
Author: Kean Ming Tan
Maintainer: Kean Ming Tan <keanming@u.washington.edu>
Depends: glasso
Imports: fields
Description: Implements the sparse biclustering proposal of Tan and Witten (2014), Sparse biclustering of transposable data. Journal of Computational and Graphical Statistics 23(4):985-1008.
License: GPL (>= 2)
Packaged: 2015-02-15 02:12:51 UTC; keanmingtan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-15 07:35:48
Package: Tsphere
Type: Package
Title: Transposable Sphering for Large-Scale Inference with Correlated
Data.
Version: 1.0
Date: 2011-11-12
Author: Genevera I. Allen
Maintainer: Genevera I. Allen <gallen@rice.edu>
URL: http://www.stat.rice.edu/~gallen/
Description: Adjusts for correlations among the rows and columns via
the Transposable Sphering Algorithm when conducting large-scale
inference on the rows of a data matrix.
License: GPL-2
Depends: glasso, rms
Packaged: 2012-10-29 08:57:46 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:57:46
providing 
.