Last data update: 2014.03.03

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Results 1 - 10 of 13 found.
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kst : Knowledge Space Theory

Package: kst
Version: 0.2-1
Date: 2014-1-10
Title: Knowledge Space Theory
Authors@R: c(person(given = "Christina", family = "Stahl", role = c("aut", "cre"), email = "christina.stahl@chello.at"),
person(given = "David", family = "Meyer", role = c("aut")))
Description: Knowledge Space Theory is a set-theoretical framework, which
proposes mathematical formalisms to operationalize knowledge structures in a
particular domain. The kst-package provides basic functionalities to
generate, handle, and manipulate knowledge structures and knowledge spaces.
License: GPL (>= 2)
Depends: R (>= 2.7.0), proxy, relations (>= 0.4-0), sets (>= 0.3-2)
Suggests: Rgraphviz
Packaged: 2014-01-10 19:51:29 UTC; david
Author: Christina Stahl [aut, cre],
David Meyer [aut]
Maintainer: Christina Stahl <christina.stahl@chello.at>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-11 16:02:14

● Data Source: CranContrib
● Cran Task View: Psychometrics
● 0 images, 17 functions, 0 datasets
● Reverse Depends: 0

StatMatch : Statistical Matching

Package: StatMatch
Type: Package
Title: Statistical Matching
Version: 1.2.4
Date: 2016-01-13
Author: Marcello D'Orazio
Maintainer: Marcello D'Orazio <madorazi@istat.it>
Depends: R (>= 2.7.0), proxy, clue, survey, RANN, lpSolve
Suggests: MASS, Hmisc
Description: Integration of two data sources referred to the same target population which share a number of common variables (aka data fusion). Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-01-13 09:03:21 UTC; UTENTE
Repository: CRAN
Date/Publication: 2016-01-13 13:54:07

● Data Source: CranContrib
● Cran Task View: OfficialStatistics
● 0 images, 17 functions, 3 datasets
Reverse Depends: 1

diverse : Diversity Measures for Complex Systems

Package: diverse
Title: Diversity Measures for Complex Systems
Version: 0.1.2
Author: Miguel R. Guevara <miguel.guevara@upla.cl>, Dominik Hartmann
<d.hartmann@uni-hohenheim.de>, Marcelo Mendoza
<marcelo.mendoza@usm.cl>
Maintainer: Miguel R. Guevara <miguel.guevara@upla.cl>
Description: Computes the most common diversity measures used in social and other sciences, and includes new measures from interdisciplinary research.
Depends: proxy, reshape2, foreign, stats
Suggests: pheatmap, igraph, entropart
URL: https://github.com/mguevara/diverse
Date: 2016-06-02
BugReports: https://github.com/mguevara/diverse/issues
License: CC BY-SA 4.0
Repository: CRAN
LazyData: true
NeedsCompilation: no
Packaged: 2016-06-03 13:11:06 UTC; mguevara
Date/Publication: 2016-06-03 18:51:08

● Data Source: CranContrib
● 0 images, 17 functions, 0 datasets
● Reverse Depends: 0

dtw : Dynamic Time Warping Algorithms

Package: dtw
Type: Package
Title: Dynamic Time Warping Algorithms
Description: A comprehensive implementation of dynamic time warping (DTW) algorithms in R. DTW computes the optimal (least cumulative distance) alignment between points of two time series. Common DTW variants covered include local (slope) and global (window) constraints, subsequence matches, arbitrary distance definitions, normalizations, minimum variance matching, and so on. Provides cumulative distances, alignments, specialized plot styles, etc.
Author: Toni Giorgino <toni.giorgino@gmail.com>,
Maintainer: Toni Giorgino <toni.giorgino@gmail.com>
Version: 1.18-1
Date: 2015-9-1
Depends: R (>= 2.10.0), proxy
Imports: graphics, grDevices, stats, utils
License: GPL (>= 2)
URL: http://dtw.r-forge.r-project.org/
NeedsCompilation: yes
Packaged: 2015-09-01 10:12:16 UTC; toni
Repository: CRAN
Date/Publication: 2015-09-01 17:55:23

● Data Source: CranContrib
● Cran Task View: TimeSeries
● 0 images, 13 functions, 1 datasets
Reverse Depends: 3

dtwclust : Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance

Package: dtwclust
Type: Package
Title: Time Series Clustering Along with Optimizations for the Dynamic
Time Warping Distance
Version: 2.1.2
Date: 2016-06-05
Depends: R (>= 3.2.0), proxy, dtw, ggplot2, rngtools
Imports: stats, utils, methods, flexclust, caTools, reshape2, foreach,
parallel, Rcpp
Suggests: TSdist, TSclust, doParallel, testthat
LinkingTo: Rcpp
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>
Description: Time series clustering along with optimized techniques related
to the Dynamic Time Warping distance and its corresponding lower bounds.
Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole
clustering are available. Functionality can be easily extended with
custom distance measures and centroid definitions.
URL: https://github.com/asardaes/dtwclust
BugReports: https://github.com/asardaes/dtwclust/issues
License: GPL-3
LazyData: TRUE
NeedsCompilation: yes
RoxygenNote: 5.0.1
Collate: 'DBA.R' 'NCCc.R' 'SBD.R' 'TADPole.R' 'all_cent.R' 'ddist.R'
'dtw-lb.R' 'dtw2.R' 'dtwclust-classes.R' 'dtwclust-methods.R'
'dtwclust.R' 'kcca-list.R' 'lb-improved.R' 'lb-keogh.R'
'utils.R' 'pkg.R' 'reinterpolate.R' 'shape-extraction.R'
'uciCT.R' 'zscore.R'
Packaged: 2016-06-05 23:42:51 UTC; oso
Repository: CRAN
Date/Publication: 2016-06-06 06:39:43

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

ConsRank : Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach

Package: ConsRank
Type: Package
Title: Compute the Median Ranking(s) According to the Kemeny's
Axiomatic Approach
Version: 1.0.2
Date: 2015-09-28
Author: Antonio D'Ambrosio <antdambr@unina.it>, Sonia Amodio <sonia.amodio@unina.it>
Maintainer: Antonio D'Ambrosio <antdambr@unina.it>
Depends: MASS, proxy, rgl, gtools
Description: Compute the median ranking according the Kemeny's axiomatic approach. Rankings can or cannot contain ties, rankings can be both complete or incomplete.
License: GPL-3
URL: http://www.r-project.org
Repository: CRAN
NeedsCompilation: no
Packaged: 2015-09-29 16:37:55 UTC; An
Date/Publication: 2015-09-29 20:38:03

● Data Source: CranContrib
3 images, 22 functions, 8 datasets
● Reverse Depends: 0

cba : Clustering for Business Analytics

Package: cba
Type: Package
Title: Clustering for Business Analytics
Version: 0.2-17
Author: Christian Buchta and Michael Hahsler
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>
Description: Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.
Depends: R (>= 2.10), grid, proxy
Imports: stats, graphics, grDevices, methods
Suggests: gclus, colorspace
Encoding: latin1
License: GPL-2
NeedsCompilation: yes
Packaged: 2016-06-04 17:57:48 UTC; hornik
Repository: CRAN
Date/Publication: 2016-06-04 19:59:29

● Data Source: CranContrib
● Cran Task View: Cluster, Graphics
● 0 images, 27 functions, 3 datasets
● Reverse Depends: 0

TSdist : Distance Measures for Time Series Data

Package: TSdist
Type: Package
Title: Distance Measures for Time Series Data
Version: 3.3
Encoding: UTF-8
Date: 2016-05-13
Depends: R (>= 3.0.3), proxy
Imports: zoo, xts, dtw, TSclust, KernSmooth, locpol, pdc,
longitudinalData, cluster, methods, graphics, stats
Suggests: testthat
Author: Usue Mori, Alexander Mendiburu, J.A. Lozano
Maintainer: Usue Mori <usue.mori@ehu.eus>
Description: A set of commonly used distance measures and some additional functions which, although initially not designed for this purpose, can be used to measure the dissimilarity between time series. These measures can be used to perform clustering, classification or other data mining tasks which require the definition of a distance measure between time series.
License: GPL (>= 2)
Packaged: 2016-05-13 11:16:10 UTC; usue
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-05-14 23:26:12

● Data Source: CranContrib
● Cran Task View: TimeSeries
● 0 images, 40 functions, 4 datasets
● Reverse Depends: 0

stream : Infrastructure for Data Stream Mining

Package: stream
Version: 1.2-2
Date: 2015-10-28
Title: Infrastructure for Data Stream Mining
Authors@R: c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"),
person("Matthew", "Bolanos", role = c("aut", "cph")),
person("John", "Forrest", role = c("aut", "cph")))
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893 and NIH R21HG005912.
Depends: R (>= 2.13.0), methods, proxy (>= 0.4-7)
Imports: animation, clue, cluster, clusterGeneration, dbscan (>=
0.9-2), fpc, graphics, grDevices, MASS, mlbench, Rcpp (>=
0.11.4), stats, utils
Suggests: DBI, rJava, RSQLite, testthat
URL: http://lyle.smu.edu/IDA/TRACDS/
BugReports: https://r-forge.r-project.org/projects/clusterds/
LinkingTo: Rcpp
License: GPL-3
NeedsCompilation: yes
Packaged: 2015-10-28 16:37:29 UTC; hahsler
Author: Michael Hahsler [aut, cre, cph],
Matthew Bolanos [aut, cph],
John Forrest [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Repository: CRAN
Date/Publication: 2015-10-28 19:41:43

● Data Source: CranContrib
● 0 images, 50 functions, 0 datasets
Reverse Depends: 2

smdc : Document Similarity

Package: smdc
Type: Package
Title: Document Similarity
Version: 0.0.2
Date: 2013-02-16
Author: Masaaki TAKADA
Maintainer: Masaaki TAKADA <tkdmah@gmail.com>
Description: This package provides similarity among documents.
License: BSD
Depends: proxy, tm
Packaged: 2013-02-15 18:32:09 UTC; tkdmah
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-02-15 19:45:47

● Data Source: CranContrib
● 0 images, 8 functions, 0 datasets
● Reverse Depends: 0