Other packages > Find by keyword >

IncDTW  

Incremental Calculation of Dynamic Time Warping
View on CRAN: Click here


Download and install IncDTW package within the R console
Install from CRAN:
install.packages("IncDTW")

Install from Github:
library("remotes")
install_github("cran/IncDTW")

Install by package version:
library("remotes")
install_version("IncDTW", "1.1.4.6")



Attach the package and use:
library("IncDTW")
Maintained by
Maximilian Leodolter
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-03
Latest Update: 2022-03-16
Description:
The Dynamic Time Warping (DTW) distance measure for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. IncDTW is characterized by (1) the incremental calculation of DTW (reduces runtime complexity to a linear level for updating the DTW distance) - especially for life data streams or subsequence matching, (2) the vector based implementation of DTW which is faster because no matrices are allocated (reduces the space complexity from a quadratic to a linear level in the number of observations) - for all runtime intensive DTW computations, (3) the subsequence matching algorithm runDTW, that efficiently finds the k-NN to a query pattern in a long time series, and (4) C++ in the heart. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) . For details about this package, Dynamic Time Warping and Incremental Dynamic Time Warping please see "IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping" by Leodolter et al. (2021) .
How to cite:
Maximilian Leodolter (2017). IncDTW: Incremental Calculation of Dynamic Time Warping. R package version 1.1.4.6, https://cran.r-project.org/web/packages/IncDTW. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.1.0 (2017-07-03 13:00), 0.1.1 (2017-08-04 12:51), 0.1.2 (2017-08-23 14:40), 0.1.3 (2017-08-23 22:03), 1.0.0 (2017-10-10 10:59), 1.0.1 (2018-01-13 15:41), 1.0.2 (2018-05-11 21:59), 1.0.3 (2018-05-14 09:59), 1.0.4 (2018-09-11 10:10), 1.0.5 (2019-01-03 16:20), 1.1.0 (2019-04-08 17:22), 1.1.1 (2019-05-24 13:50), 1.1.2 (2019-06-27 10:40), 1.1.3.1 (2020-04-01 08:02), 1.1.3 (2019-12-18 23:50), 1.1.4.2 (2020-10-09 10:30), 1.1.4.3 (2021-09-23 18:10), 1.1.4.4 (2022-03-16 16:50), 1.1.4.5 (2025-10-07 22:40), (2026-07-09 08:07)
Other packages that cited IncDTW R package
View IncDTW citation profile
Other R packages that IncDTW depends, imports, suggests or enhances
Complete documentation for IncDTW
Functions, R codes and Examples using the IncDTW R package
Some associated functions: DBA . IncDTW-package . dec_dm . drink_glass . dtw . dtw2vec . dtw_dismat . dtw_partial . find_peaks . idtw . idtw2vec . initialize_plane . lowerbound . plot_dba . plot_idtw . plot_rundtw . rundtw . scale . simulate_timewarp . 
Some associated R codes: DBA.R . RcppExports.R . data_simulation.R . dtw.R . idtw.R . rundtw.R . s3_is_print.R . s3_plot.R . s3_print.R . s3_summary.R .  Full IncDTW package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA