R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 10 of 23 found.
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mlDNA : Machine Learning-based Differential Network Analysis of Transcriptome Data

Package: mlDNA
Type: Package
Title: Machine Learning-based Differential Network Analysis of
Transcriptome Data
Version: 1.1
Date: 2013-11-18
Author: Chuang Ma and Xiangfeng Wang
Maintainer: Chuang Ma <chuangma2006@gmail.com>
Depends: R (>= 2.15.1), snowfall (>= 1.84-4), igraph (>= 0.6.6), rsgcc
(>= 1.0.6), e1071 (>= 1.6-1), randomForest (>= 4.6-7)
Imports: pROC (>= 1.5.4), ROCR (>= 1.0-5)
Suggests: bigmemory, GeneSelector, gplots, nnet, cairoDevice, fBasics
Description: Functions necessary to perform the machine learning-based
differential network analysis of transcriptome data.
URL: http://www.cmbb.arizona.edu/mlDNA
LazyLoad: yes
License: GPL (>= 2)
Packaged: 2013-11-18 17:33:55 UTC; wanglab
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-11-19 07:37:01

● Data Source: CranContrib
● 0 images, 19 functions, 0 datasets
● Reverse Depends: 0

PASWR : PROBABILITY and STATISTICS WITH R

Package: PASWR
Type: Package
Title: PROBABILITY and STATISTICS WITH R
Version: 1.1
LazyLoad: yes
LazyData: yes
Date: 2009-11-24
Author: Alan T. Arnholt
Maintainer: Alan T. Arnholt <arnholtat@appstate.edu>
Depends: e1071, MASS, lattice
Description: Data and functions for the book PROBABILITY and STATISTICS
WITH R.
License: GPL (>= 2)
URL: http://www1.appstate.edu/~arnholta/PASWR/
Packaged: 2012-10-29 08:57:23 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:57:23

● Data Source: CranContrib
● 75 images, 20 functions, 77 datasets
● Reverse Depends: 0

KODAMA : Knowledge discovery by accuracy maximization

Package: KODAMA
Version: 0.0.1
Date: 2013-11-20
Author: Stefano Cacciatore, Claudio Luchinat, Leonardo Tenori
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Title: Knowledge discovery by accuracy maximization
Description: KODAMA (KnOwledge Discovery by Accuracy MAximization) is an unsupervised and semisupervised learning algorithm that performs feature extraction from noisy and high-dimensional data.
Depends: R (>= 2.10.0), e1071, plsgenomics, class
Suggests: rgl,
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2014-11-25 15:41:39 UTC; Stefano
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-11-25 18:05:43

● Data Source: CranContrib
● 5 images, 18 functions, 3 datasets
● Reverse Depends: 0

InventorymodelPackage : Inventorymodel

Encoding: latin1
Package: InventorymodelPackage
Title: Inventorymodel
Version: 1.0.2
Date: 2014-06-10
Author: Alejandro Saavedra Nieves
Maintainer: Alejandro Saavedra Nieves
<alejandro.saavedra.nieves@gmail.com>
Depends: R (>= 2.15.0), e1071
Description: This package describes the associated cost games to inventory situations.
License: GPL-2
LazyLoad: yes
Packaged: 2014-06-24 18:11:46 UTC; Alejandro
Repository: CRAN
Date/Publication: 2014-06-24 23:44:03
NeedsCompilation: no

● Data Source: CranContrib
● 0 images, 22 functions, 0 datasets
● Reverse Depends: 0

clustrd : Methods for joint dimension reduction and clustering

Package: clustrd
Title: Methods for joint dimension reduction and clustering
Description: A collection of methods for joint dimension reduction and
clustering
Version: 0.1.2
Authors@R: c(person("Angelos", "Markos", email = "amarkos@gmail.com", role =
c("aut", "cre")), person("Alfonso", "Iodice D' Enza", role = "aut"),
person("Michel", "Van de Velden", role = "aut"))
Maintainer: Angelos Markos <amarkos@gmail.com>
License: GPL
Depends: corpcor, e1071, ggplot2, irlba
Collate: 'MCAk.r' 'disjMake.r' 'fuzzyMCAk.r' 'groupals.r' 'iFCB.r'
'FactorialKM.r' 'ReducedKM.r' 'plotrd.r' 'ed.r' 'nrm.r'
'orth.r' 'rosplit.r'
Packaged: 2013-12-27 14:40:34 UTC; Owner
Author: Angelos Markos [aut, cre],
Alfonso Iodice D' Enza [aut],
Michel Van de Velden [aut]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-27 16:04:14

● Data Source: CranContrib
● 0 images, 7 functions, 2 datasets
● Reverse Depends: 0

dad : Three-Way Data Analysis Through Densities

Package: dad
Type: Package
Title: Three-Way Data Analysis Through Densities
Version: 1.1.0
Date: 2016-03-23
Author: Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Sabine Demotes-Mainard
Maintainer: Rachid Boumaza <rachid.boumaza@agrocampus-ouest.fr>
Description: The three-way data consists of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides functional methods (principal component analysis, multidimensional scaling, discriminant analysis...) for such probability densities.
Depends: R (>= 3.1.0), methods, stats, graphics, grDevices, utils,
lattice, e1071
Suggests: MASS
Encoding: latin1
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-03-23 14:51:34 UTC; psantago
Repository: CRAN
Date/Publication: 2016-03-23 23:04:33

● Data Source: CranContrib
● 0 images, 46 functions, 5 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

conformal : Conformal Prediction for Regression and Classification

Package: conformal
Type: Package
Title: Conformal Prediction for Regression and Classification
Version: 0.2
Date: 2016-03-06
Author: Isidro Cortes <isidrolauscher@gmail.com>
Maintainer: Isidro Cortes <isidrolauscher@gmail.com>
Depends: R (>= 2.12.0), caret, ggplot2, e1071, methods, grid
Imports: randomForest
Suggests: kernlab
Description: Implementation of conformal prediction using caret models for classification and regression.
License: GPL
LazyLoad: yes
Packaged: 2016-03-07 00:24:40 UTC; icortes
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-07 07:59:51

● Data Source: CranContrib
● 0 images, 14 functions, 0 datasets
● Reverse Depends: 0

BSDA : Basic Statistics and Data Analysis

Package: BSDA
Type: Package
Title: Basic Statistics and Data Analysis
Version: 1.01
Date: 2012-03-23
LazyLoad: yes
LazyData: yes
Author: Alan T. Arnholt
Description: Data sets for book "Basic Statistics and Data Analysis" by
Larry J. Kitchens
Maintainer: Alan T. Arnholt <arnholt@math.appstate.edu>
Depends: e1071, lattice
License: GPL (>= 2)
Packaged: 2012-03-23 14:00:49 UTC; Alan
Repository: CRAN
Date/Publication: 2012-03-23 14:25:01

● Data Source: CranContrib
● 290 images, 12 functions, 319 datasets
● Reverse Depends: 0

BayesLCA : Bayesian Latent Class Analysis

Package: BayesLCA
Type: Package
Title: Bayesian Latent Class Analysis
Version: 1.7
Date: 2015-04-10
Depends: e1071, coda
Authors@R: c( person( "Arthur", "White", email = "arwhite@tcd.ie", role = c( "aut", "cre" ), comment = "Previous email address: arthur.white@ucdconnect.ie" ), person( "Thomas Brendan", "Murphy", email = "brendan.murphy@ucd.ie", role = c( "aut", "ths" ) ) )
Description: Bayesian Latent Class Analysis using several different
methods.
License: GPL (>= 2)
Imports: fields, nlme, MCMCpack
Packaged: 2015-04-10 12:35:07 UTC; arthur
Author: Arthur White [aut, cre] (Previous email address:
arthur.white@ucdconnect.ie),
Thomas Brendan Murphy [aut, ths]
Maintainer: Arthur White <arwhite@tcd.ie>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-04-10 14:41:32

● Data Source: CranContrib
● Cran Task View: Cluster
● 16 images, 15 functions, 1 datasets
● Reverse Depends: 0