R Graphical Manual

Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 3 of 3 found.
[1] < 1 > [1] Sort:

dtwSat : Time-Weighted Dynamic Time Warping for Remote Sensing Time Series Analysis

Package: dtwSat
Type: Package
Title: Time-Weighted Dynamic Time Warping for Remote Sensing Time
Series Analysis
Version: 0.1.0
Date: 2015-10-01
Authors@R: c(person("Victor", "Maus", role = c("aut", "cre"),
email = "vwmaus1@gmail.com")
)
Description:
Provides a Time-Weighted Dynamic Time Warping (TWDTW) algorithm to measure similarity between two temporal sequences. This adaptation of the classical Dynamic Time Warping (DTW) algorithm is flexible to compare events that have a strong time dependency, such as phenological stages of cropland systems and tropical forests. This package provides methods for visualization of minimum cost paths, time series alignment, and time intervals classification.
Depends: R (>= 3.0.0), methods, dtw, zoo
Imports: proxy, waveslim, graphics, ggplot2, scales, reshape2,
grDevices, utils
Suggests: testthat
License: GPL (>= 2) | file LICENSE
Author: Victor Maus [aut, cre]
Maintainer: Victor Maus <vwmaus1@gmail.com>
LazyData: true
NeedsCompilation: no
Packaged: 2015-10-08 23:37:13 UTC; mausv
Repository: CRAN
Date/Publication: 2015-10-10 01:21:00

● Data Source: CranContrib
● 0 images, 17 functions, 2 datasets
● Reverse Depends: 0

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

verification : Weather Forecast Verification Utilities

Package: verification
Version: 1.42
Date: 2015-07-10
Title: Weather Forecast Verification Utilities
Author: NCAR - Research Applications Laboratory
Maintainer: Eric Gilleland <ericg@ucar.edu>
Depends: R (>= 2.10), methods, fields, boot, CircStats, MASS, dtw
Imports: graphics, stats
Description: Utilities for verifying discrete, continuous and probabilistic forecasts, and forecasts expressed as parametric distributions are included.
License: GPL (>= 2)
LazyData: yes
Packaged: 2015-07-14 19:10:31 UTC; ericg
Repository: CRAN
Date/Publication: 2015-07-15 01:30:51
NeedsCompilation: no

● Data Source: CranContrib
● 0 images, 29 functions, 4 datasets
● Reverse Depends: 0