Package: linkcomm
Type: Package
Title: Tools for Generating, Visualizing, and Analysing Link
Communities in Networks
Version: 1.0-11
Date: 2011-05-27
Author: Alex T. Kalinka <alex.t.kalinka@gmail.com>, with contributions from Alain Guenoche
Maintainer: Alex T. Kalinka <alex.t.kalinka@gmail.com>
Description: Link communities reveal the nested and overlapping structure in networks, and uncover the key nodes that form connections to multiple communities. linkcomm provides a set of tools for generating, visualizing, and analysing link communities in networks of arbitrary size and type. The linkcomm package also includes tools for generating, visualizing, and analysing Overlapping Cluster Generator (OCG) communities.
Depends: igraph, RColorBrewer
Imports: dynamicTreeCut, grid, utils
Suggests: fastcluster
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2014-08-13 08:19:15 UTC; alexk
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-08-13 19:00:50
Package: genlasso
Type: Package
Title: Path algorithm for generalized lasso problems
Version: 1.3
Date: 2014-09-14
Author: Taylor B. Arnold and Ryan J. Tibshirani
Maintainer: Taylor Arnold <taylor.arnold@aya.yale.edu>
Description: This package computes the solution path for generalized lasso problems. Important use cases are the fused lasso over an arbitrary graph, and trend fitting of any given polynomial order. Specialized implementations for the latter two subproblems are given to improve stability and speed.
License: GPL (>= 2.0)
Depends: MASS, Matrix, igraph
ByteCompile: TRUE
URL: https://github.com/statsmaths/genlasso
Packaged: 2014-09-15 03:50:06 UTC; taylor
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-09-15 07:36:28
Package: modMax
Type: Package
Title: Community Structure Detection via Modularity Maximization
Version: 1.1
Date: 2015-07-24
Author: Maria Schelling, Cang Hui
Maintainer: Maria Schelling <schelling.rmaintainer@vodafone.de>
Depends: gtools, igraph
Description: The algorithms implemented here are used to detect the community structure of a network.
These algorithms follow different approaches, but are all based on the concept of modularity maximization.
License: GPL-2
NeedsCompilation: no
Packaged: 2015-07-24 12:53:21 UTC; xxx
Repository: CRAN
Date/Publication: 2015-07-24 18:21:32
Package: netassoc
Type: Package
Title: Inference of Species Associations from Co-Occurrence Data
Version: 0.6.2
Date: 2015-11-23
Author: Benjamin Blonder, Naia Morueta-Holme
Maintainer: Benjamin Blonder <bblonder@gmail.com>
Description: Infers species associations from community matrices. Uses local and (optional) regional-scale co-occurrence data by comparing observed partial correlation coefficients between species to those estimated from regional species distributions. Extends Gaussian graphical models to a null modeling framework. Provides interface to a variety of inverse covariance matrix estimation methods.
License: GPL-3
Depends: igraph, infotheo
Imports: rags2ridges, corpcor, huge, vegan
NeedsCompilation: no
Packaged: 2015-11-23 21:40:00 UTC; benjaminblonder
Repository: CRAN
Date/Publication: 2015-11-24 07:46:52
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: mRMRe
Type: Package
Title: R package for parallelized mRMR ensemble feature selection
Version: 2.0.5
Date: 2014-08-119
Author: Nicolas De Jay, Simon Papillon-Cavanagh, Catharina Olsen, Gianluca Bontempi, Benjamin Haibe-Kains
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Description: This package contains a set of function to compute mutual information matrices from continuous, categorical and survival variables. It also contains function to perform feature selection with mRMR and a new ensemble mRMR technique.
License: Artistic-2.0
Depends: R (>= 2.10), survival, igraph, methods
URL: http://www.pmgenomics.ca/bhklab/
Packaged: 2015-03-21 18:45:53 UTC; hornik
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-21 19:47:33
providing 
.