R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 5 of 5 found.
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RFgroove : Importance Measure and Selection for Groups of Variables with Random Forests

Package: RFgroove
Type: Package
Title: Importance Measure and Selection for Groups of Variables with
Random Forests
Version: 1.1
Date: 2016-03-16
Author: Baptiste Gregorutti
Maintainer: Baptiste Gregorutti <baptiste.gregorutti@safety-line.fr>
Description: Variable selection tools for groups of variables and functional data based on a new grouped variable importance with random forests.
License: GPL (>= 2.0)
Depends: randomForest, wmtsa, fda
Packaged: 2016-03-17 09:22:35 UTC; bapt
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-03-17 13:20:10

● Data Source: CranContrib
● 5 images, 15 functions, 0 datasets
● Reverse Depends: 0

dvfBm : Discrete variations of a fractional Brownian motion

Package: dvfBm
Type: Package
Title: Discrete variations of a fractional Brownian motion
Version: 1.0
Date: 2009-10-14
Author: Jean-Francois Coeurjolly
Maintainer: J.-F. Coeurjolly
<Jean-francois.Coeurjolly@upmf-grenoble.fr>
Description: Hurst exponent estimation of a fractional Brownian motion
by using discrete variations methods in presence of outliers
and/or an additive noise
License: GPL (>= 2.0)
LazyLoad: yes
Depends: wmtsa
Packaged: Fri Nov 20 14:34:09 2009; jeff
Repository: CRAN
Date/Publication: 2009-11-22 16:11:39

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

eegAnalysis : Tools for analysis and classification of electroencephalography (EEG) data.

Package: eegAnalysis
Version: 0.0
Date: 2014-04-01
Title: Tools for analysis and classification of electroencephalography
(EEG) data.
Author: Murilo Coutinho Silva (University of Brasilia, Brazil), George Freitas von Borries (University of Brasilia, Brazil)
Maintainer: Murilo Coutinho Silva <coutinho.stat@gmail.com>
Depends: R (>= 3.0.0), e1071 (>= 1.6), wmtsa (>= 2.0-0), fields (>=
6.9.1), splus2R (>= 1.2-0)
Description: Package with tools for classification of electroencephalography (EEG) data. Feature extraction techniques such as Fourier Transform and Continuous Wavelet Transform (CWT) are available. Support Vector Machines (SVM) can be used to classify the extracted features. An algorithm using Analysis of Variance (ANOVA), False Discovery Rate (FDR), and SVM is available to feature selection. Additionally, the package contains functions to plot data and features.
License: GPL (>= 2)
Packaged: 2014-06-22 10:37:51 UTC; murilocoutinho
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-06-22 15:48:01

● Data Source: CranContrib
● 0 images, 9 functions, 0 datasets
● Reverse Depends: 0

TSclust : Time Series Clustering Utilities

Package: TSclust
Type: Package
Title: Time Series Clustering Utilities
Version: 1.2.3
Date: 2014-4-30
Encoding: UTF-8
Author: Pablo Montero Manso, JosÃ© Antonio Vilar
Maintainer: Pablo Montero <pmontm@gmail.com>
Description: This package contains a set of measures of dissimilarity between time series to perform time series clustering. Metrics based on raw data, on generating models and on the forecast behavior are implemented. Some additional utilities related to time series clustering are also provided, such as clustering algorithms and cluster evaluation metrics.
License: GPL-2
URL: http://www.jstatsoft.org/v62/i01/
Depends: R (>= 3.0.1), wmtsa, pdc, cluster
Imports: locpol, KernSmooth, dtw, longitudinalData
Packaged: 2014-11-18 17:50:41 UTC; pmont
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-11-18 22:30:04

● Data Source: CranContrib
● Cran Task View: TimeSeries
● 0 images, 29 functions, 1 datasets
● Reverse Depends: 0

wbsts : Multiple Change-Point Detection for Nonstationary Time Series

Package: wbsts
Title: Multiple Change-Point Detection for Nonstationary Time Series
Version: 0.3
Author: Karolos Korkas and Piotr Fryzlewicz
Maintainer: Karolos Korkas <kkorkas@yahoo.co.uk>
Description: Implements detection for the number and locations of
the change-points in a time series using the Wild Binary Segmentation and
the Locally Stationary Wavelet model.
Depends: mvtnorm, wmtsa, R (>= 3.0.0)
License: GPL-3
LazyData: true
Packaged: 2015-09-29 19:00:40 UTC; korkas
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-09-29 21:09:02

● Data Source: CranContrib
● 0 images, 13 functions, 0 datasets
● Reverse Depends: 0