R Graphical Manual

Last data update: 2014.03.03

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netassoc : Inference of Species Associations from Co-Occurrence Data

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

● Data Source: CranContrib
● 0 images, 6 functions, 0 datasets
● Reverse Depends: 0

bc3net : Gene Regulatory Network Inference with Bc3net

Package: bc3net
Version: 1.0.3
Date: 2015-12-30
Title: Gene Regulatory Network Inference with Bc3net
Authors@R: c(person("Ricardo", "de Matos Simoes", role=c("aut","cre"),
email="ricardo_dematossimoes@dfci.harvard.edu"),
person("Frank", "Emmert-Streib", role=c("aut"),
email="v@bio-complexity.com"))
Author: Ricardo de Matos Simoes [aut, cre],
Frank Emmert-Streib [aut]
Maintainer: Ricardo de Matos Simoes <ricardo_dematossimoes@dfci.harvard.edu>
Depends: R (>= 2.10.0), c3net, infotheo, igraph, Matrix, lattice
Suggests:
Description: Implementation of the BC3NET algorithm for gene regulatory network inference (de Matos Simoes and Frank Emmert-Streib, Bagging Statistical Network Inference from Large-Scale Gene Expression Data, PLoS ONE 7(3): e33624).
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2015-12-30 23:14:46 UTC; ricardo
Date/Publication: 2015-12-31 00:35:35

● Data Source: CranContrib
● 0 images, 5 functions, 1 datasets
● Reverse Depends: 0

sideChannelAttack : Side Channel Attack

Package: sideChannelAttack
Version: 1.0-6
Date: 2013-04-12
Title: Side Channel Attack
Authors@R: c(person("Liran","Lerman",role =
c("cre","aut"),email="llerman@ulb.ac.be"),person("Gianluca","Bontempi",role
=
c("aut"),email="gbonte@ulb.ac.be"),person("Olivier","Markowitch",role
= c("aut"),email="olivier.markowitch@ulb.ac.be"))
Author: Liran Lerman <llerman@ulb.ac.be>, Gianluca Bontempi
<gbonte@ulb.ac.be>, Olivier Markowitch
<olivier.markowitch@ulb.ac.be>
Maintainer: Liran Lerman <llerman@ulb.ac.be>
Depends: R (>= 2.10), MASS, corpcor, mmap, ade4, infotheo
Description: This package has many purposes: first, it gives to the
community an R implementation of each known side channel attack
and countermeasures as well as data to test it, second it
allows to implement a side channel attack quickly and easily.
License: GPL-3
URL: http://student.ulb.ac.be/~llerman/
Packaged: 2013-04-12 15:37:14 UTC; user
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-04-12 17:46:02

● Data Source: CranContrib
● 0 images, 16 functions, 0 datasets
● Reverse Depends: 0