Last data update: 2014.03.03

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Results 1 - 3 of 3 found.
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fastHICA : Hierarchical Independent Component Analysis: a Multi-Scale Sparse Non-Orthogonal Data-Driven Basis

Package: fastHICA
Type: Package
Title: Hierarchical Independent Component Analysis: a Multi-Scale
Sparse Non-Orthogonal Data-Driven Basis
Version: 1.0.2
Date: 2015-05-12
Author: Piercesare Secchi, Simone Vantini, and Paolo Zanini
Maintainer: Paolo Zanini <paolo.zanini@polimi.it>
Depends: fastICA, energy
Description: It implements HICA (Hierarchical Independent Component Analysis) algorithm. This approach, obtained through the integration between treelets and Independent Component Analysis, is able to provide a multi-scale non-orthogonal data-driven basis, whose elements have a phenomenological interpretation according to the problem under study.
License: GPL (>= 2)
Packaged: 2015-05-12 09:29:10 UTC; paolo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-12 11:39:40

● Data Source: CranContrib
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0

compositions : Compositional Data Analysis

Package: compositions
Version: 1.40-1
Date: 2013-06-01
Title: Compositional Data Analysis
Author: K. Gerald van den Boogaart <boogaart@hzdr.de>,
Raimon Tolosana, Matevz Bren
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>
Depends: R (>= 2.2.0), tensorA, robustbase, energy, bayesm
Suggests: rgl
Description: The package provides functions for the consistent analysis of
compositional data (e.g. portions of substances) and positive numbers
(e.g. concentrations) in the way proposed by Aitchison and Pawlowsky-Glahn.
License: GPL (>= 2)
URL: http://www.stat.boogaart.de/compositions
Packaged: 2014-06-06 15:58:33 UTC; tolosa53
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-06-07 21:11:09

● Data Source: CranContrib
● 0 images, 170 functions, 29 datasets
● Reverse Depends: 0

dCovTS : Distance Covariance and Correlation for Time Series Analysis

Package: dCovTS
Type: Package
Title: Distance Covariance and Correlation for Time Series Analysis
Version: 1.0
Date: 2016-03-08
Authors@R: c(
person("Maria", "Pitsillou", role=c("aut", "cre"), email="pitsillou.maria@ucy.ac.cy"),
person("Konstantinos", "Fokianos", role=c("aut"), email="fokianos@ucy.ac.cy"))
Description: Computing and plotting the distance covariance and correlation
function of a univariate or a multivariate time series. Test statistics for
testing pairwise independence are also implemented. Some data sets are also included.
Depends: R (>= 3.1.0), doParallel (>= 1.0.8), energy (>= 1.5.0)
Imports: foreach
Suggests: MASS
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Author: Maria Pitsillou [aut, cre],
Konstantinos Fokianos [aut]
Maintainer: Maria Pitsillou <pitsillou.maria@ucy.ac.cy>
Repository: CRAN
Packaged: 2016-03-08 15:31:52 UTC; User
Date/Publication: 2016-03-09 00:51:06

● Data Source: CranContrib
● 0 images, 11 functions, 2 datasets
● Reverse Depends: 0