Package: RHRV
Type: Package
Title: Heart rate variability analysis of ECG data
Version: 4.0
Date: 2013-01-18
Author: A. Mendez, L. Rodriguez-Linares, A. Otero, C.A. Garcia, X. Vila, M. Lado
Maintainer: L. Rodriguez-Linares <leandro@uvigo.es>
URL: http://rhrv.r-forge.r-project.org/
Description: Methods and tools for performing Heart Rate Variability analysis
of ECG records. RHRV allows to import data files containing heartbeat positions
in the most broadly used formats; eliminating outliers or spurious points
present in the time series with unacceptable physiological values; plotting HRV
data and performing time domain, frequency domain and nonlinear HRV analysis.
License: GPL-2
Copyright: Code for the wavelet transform is based on Brandon
Whitcher's work. See file COPYRIGHT for details
Depends: R (>= 3.0.0), tcltk (>= 2.4.1), tkrplot (>= 0.0-18), waveslim (>=
1.6.4), nonlinearTseries (>= 0.2)
Suggests: highlight
VignetteBuilder: highlight
Repository: CRAN
Repository/R-Forge/Project: rhrv
Repository/R-Forge/Revision: 122
Repository/R-Forge/DateTimeStamp: 2014-01-17 17:45:38
Date/Publication: 2014-01-19 18:32:43
Packaged: 2014-01-17 19:41:02 UTC; rforge
NeedsCompilation: yes
Package: W2CWM2C
Type: Package
Title: A Graphical Tool for Wavelet (Cross) Correlation and Wavelet
Multiple (Cross) Correlation Analysis
Version: 2.0
Date: 2015-08-04
Author: Josue M. Polanco-Martinez
Maintainer: Josue M. Polanco-Martinez <josue.m.polanco@gmail.com>
Depends: R (>= 2.14.1), waveslim, wavemulcor, colorspace
Description: Set of functions that improves the graphical presentations of the functions 'wave.correlation' and 'spin.correlation' (waveslim package, Whitcher 2012) and the 'wave.multiple.correlation' and 'wave.multiple.cross.correlation' (wavemulcor package, Fernandez-Macho 2012b). The plot outputs (heatmaps) can be displayed in the screen or can be saved as PNG or JPG images or as PDF or EPS formats. The W2CWM2C package also helps to handle the (input data) multivariate time series easily as a list of N elements (times series) and provides a multivariate data set (dataexample) to exemplify its use. A description of the package was published in Computing in Science & Engineering (Volume:16, Issue: 6) on Sep. 09, 2014, doi:10.1109/MCSE.2014.96.
License: GPL (>= 2)
Repository: CRAN
LazyLoad: yes
Date/Publication: 2015-08-05 09:30:39
NeedsCompilation: no
Packaged: 2015-08-04 20:41:43 UTC; jomopo
Package: adwave
Type: Package
Title: Wavelet Analysis of Genomic Data from Admixed Populations
Version: 1.1
Date: 2015-06-24
Depends: waveslim
Author: Jean Sanderson
Maintainer: Murray Cox <m.p.cox@massey.ac.nz>
Description: Implements wavelet-based approaches for describing population admixture. Principal Components Analysis (PCA) is used to define the population structure and produce a localized admixture signal for each individual. Wavelet summaries of the PCA output describe variation present in the data and can be related to population-level demographic processes. For more details, see Sanderson et al. (2015).
License: GPL (>= 2)
Packaged: 2015-06-24 08:37:01 UTC; jean
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-06-25 05:32:44
Package: brainwaver
Version: 1.6
Date: 2010-08-09
Title: Basic wavelet analysis of multivariate time series with a
visualisation and parametrisation using graph theory.
Author: Sophie Achard <sophie.achard@gipsa-lab.inpg.fr>
Maintainer: Sophie Achard <sophie.achard@gipsa-lab.inpg.fr>
Depends: R (>= 1.10.0), waveslim
ZipData: no
Description: This package computes the correlation matrix for each
scale of a wavelet decomposition, namely the one performed by
the R package waveslim (Whitcher, 2000). An hypothesis test is
applied to each entry of one matrix in order to construct an
adjacency matrix of a graph. The graph obtained is finally
analysed using the small-world theory (Watts and Strogatz,
1998) and using the computation of efficiency (Latora, 2001),
tested using simulated attacks. The brainwaver project is
complementary to the camba project for brain-data
preprocessing. A collection of scripts (with a makefile) is
avalaible to download along with the brainwaver package, see
information on the webpage mentioned below.
License: GPL (>= 2)
URL: http://www.gipsa-lab.grenoble-inp.fr/~sophie.achard/
Packaged: 2012-12-01 22:04:57 UTC; achards
Repository: CRAN
Date/Publication: 2012-12-02 07:08:10
Package: wavemulcor
Type: Package
Title: Wavelet routine for multiple correlation
Version: 1.2
Date: 2011-02-13
Author: Javier Fernandez-Macho (UPV/EHU)
Maintainer: Javier Fernandez-Macho <javier.fernandezmacho@ehu.es>
Depends: waveslim
Description: Wavelet routines that calculate single sets of wavelet
multiple correlations and cross-correlations out of n variables
(either 1D time series, 2D images or 3D arrays). They can later
be plotted in single graphs, as an alternative to trying to
make sense out of several sets of wavelet correlations or
wavelet cross-correlations. The code is based on the
calculation, at each wavelet scale, of the square root of the
coefficient of determination in a linear combination of
variables for which such coefficient of determination is a
maximum. The code provided here is based on the
wave.correlation routine in Brandon Whitcher's waveslim R
package Version: 1.6.4, which in turn is based on wavelet
methodology developed in Percival and Walden (2000); Gencay,
Selcuk and Whitcher (2001) and others.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-10-29 09:00:00 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 09:00:00
providing 
.