Last data update: 2014.03.03

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NMF : Algorithms and Framework for Nonnegative Matrix Factorization (NMF)

Package: NMF
Type: Package
Title: Algorithms and Framework for Nonnegative Matrix Factorization
(NMF)
Version: 0.20.6
Date: 2015-05-25
Author: Renaud Gaujoux, Cathal Seoighe
Maintainer: Renaud Gaujoux <renaud@tx.technion.ac.il>
Description: Provides a framework to perform Non-negative Matrix
Factorization (NMF). The package implements a set of already published algorithms
and seeding methods, and provides a framework to test, develop and plug
new/custom algorithms. Most of the built-in algorithms have been optimized
in C++, and the main interface function provides an easy way of performing
parallel computations on multicore machines.
License: GPL (>= 2)
URL: http://renozao.github.io/NMF
BugReports: http://github.com/renozao/NMF/issues
SCM: github:renozao, r-forge
LazyLoad: yes
VignetteBuilder: knitr
Depends: R (>= 3.0.0), methods, utils, pkgmaker (>= 0.20), registry,
rngtools (>= 1.2.3), cluster
Imports: graphics, stats, stringr (>= 1.0.0), digest, grid, grDevices,
gridBase, colorspace, RColorBrewer, foreach, doParallel,
ggplot2, reshape2
Suggests: RcppOctave (>= 0.11), fastICA, doMPI, bigmemory (>= 4.2),
synchronicity, corpcor, xtable, devtools, knitr, bibtex, RUnit,
mail, Biobase
Collate: 'rmatrix.R' 'nmf-package.R' 'utils.R' 'versions.R'
'algorithmic.R' 'options.R' 'grid.R' 'colorcode.R' 'atracks.R'
'aheatmap.R' 'NMF-class.R' 'transforms.R' 'Bioc-layer.R'
'NMFstd-class.R' 'NMFOffset-class.R' 'registry.R' 'heatmaps.R'
'NMFns-class.R' 'nmfModel.R' 'fixed-terms.R' 'NMFfit-class.R'
'NMFSet-class.R' 'NMFStrategy-class.R' 'NMFSeed-class.R'
'NMFStrategyFunction-class.R' 'NMFStrategyIterative-class.R'
'NMFStrategyOctave-class.R' 'NMFplots.R'
'registry-algorithms.R' 'algorithms-base.R'
'algorithms-brunet.R' 'algorithms-lnmf.R' 'algorithms-lsnmf.R'
'algorithms-pe-nmf.R' 'algorithms-siNMF.R' 'algorithms-snmf.R'
'data.R' 'extractFeatures.R' 'registry-seed.R' 'parallel.R'
'nmf.R' 'rnmf.R' 'run.R' 'seed-base.R' 'seed-ica.R'
'seed-nndsvd.R' 'setNMFClass.R' 'simulation.R' 'tests.R'
Packaged: 2015-05-25 21:34:47 UTC; renaud
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-05-26 08:12:33

● Data Source: CranContrib
26 images, 130 functions, 1 datasets
Reverse Depends: 2

RcppOctave : Seamless Interface to Octave -- And Matlab

Package: RcppOctave
Type: Package
Title: Seamless Interface to Octave -- And Matlab
Version: 0.18.1
Date: 2013-11-07
Author: Renaud Gaujoux
Maintainer: Renaud Gaujoux <renaud@tx.technion.ac.il>
Description: Direct interface to Octave. The primary goal is to facilitate the
port of Matlab/Octave scripts to R. The package enables to call any Octave
functions from R and as well as browsing their documentation, passing
variables between R and Octave, using R core RNGs in Octave, which ensures
that stochastic computations are also reproducible.
License: GPL (>= 2)
URL: http://renozao.github.io/RcppOctave
BugReports: http://github.com/renozao/RcppOctave/issues
SCM: github:renozao, r-forge, CRAN
LazyLoad: yes
SystemRequirements: Octave (>= 3.2.4) and its development files
Depends: R (>= 3.0.0), methods, utils, stats, Rcpp (>= 0.10.1),
pkgmaker (>= 0.20)
Imports: digest, stringr, tools
Suggests: RUnit, knitr, bibtex
LinkingTo: Rcpp
Collate: 'Octave-class.R' 'OctaveFunction-class.R' 'base-functions.R'
'config-vars.R' 'config.R' 'eval.R' 'utils.R' 'interface.R'
'package.R' 'random.R'
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2015-10-06 11:33:14 UTC; renaud
Repository: CRAN
Date/Publication: 2015-10-06 15:43:03

● Data Source: CranContrib
● Cran Task View: NumericalMathematics
● 0 images, 32 functions, 2 datasets
● Reverse Depends: 0

rngtools : Utility functions for working with Random Number Generators

Package: rngtools
Maintainer: Renaud Gaujoux <renaud@tx.technion.ac.il>
Author: Renaud Gaujoux
Version: 1.2.4
License: GPL-3
Title: Utility functions for working with Random Number Generators
Description: This package contains a set of functions for working with
Random Number Generators (RNGs). In particular, it defines a generic
S4 framework for getting/setting the current RNG, or RNG data
that are embedded into objects for reproducibility.
Notably, convenient default methods greatly facilitate the way current
RNG settings can be changed.
URL: https://renozao.github.io/rngtools
BugReports: http://github.com/renozao/rngtools/issues
SCM: github:renozao, r-forge
Depends: R (>= 3.0.0), methods, pkgmaker (>= 0.20)
Imports: stringr, digest
Suggests: parallel, RUnit, knitr
Collate: 'rngtools-package.r' 'format.R' 'RNG.R' 'RNGseq.R'
VignetteBuilder: knitr
Packaged: 2014-03-06 13:11:11 UTC; renaud
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-06 22:18:10

● Data Source: CranContrib
● 0 images, 7 functions, 0 datasets
Reverse Depends: 3