dtw: Dynamic Time Warping Algorithms

Canonical link: https://rscholar.com/pkg/dtw

Toni Giorgino • View description and downloads View dependencies GitHub project

2007 Published

1.23-1 Version

0 Citations

1 Authors

Referenced by ⇅	Year
dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis (Version 1.0.0)	2015
AnomalyScore: Anomaly Scoring for Multivariate Time Series (Version 0.1)	0
DTWBI: Imputation of Time Series Based on Dynamic Time Warping (Version 1.1)	2018
DTWUMI: Imputation of Multivariate Time Series Based on Dynamic Time Warping (Version 1.0)	2018
IncDTW: Incremental Calculation of Dynamic Time Warping (Version 1.1.4.4)	2017
MarketMatching: Market Matching and Causal Impact Inference (Version 1.2.1)	2018
TSclust: Time Series Clustering Utilities (Version 1.3.1)	2013
TSdist: Distance Measures for Time Series Data (Version 3.7.1)	2014
VLTimeCausality: Variable-Lag Time Series Causality Inference Framework (Version 0.1.5)	2019
ddc: Distance Density Clustering Algorithm (Version 1.0.1)	2022
dtwclust: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance (Version 6.0.0)	2015
mlmts: Machine Learning Algorithms for Multivariate Time Series (Version 1.1.2)	2022
pGRN: Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory Network Inference (Version 0.3.5)	2023
parallelDist: Parallel Distance Matrix Computation using Multiple Threads (Version 0.2.6)	2017
rplanes: Plausibility Analysis of Epidemiological Signals (Version 0.1.0)	2024
rucrdtw: R Bindings for the UCR Suite (Version 0.1.6)	2016
sarp.snowprofile.alignment: Snow Profile Alignment, Aggregation, and Clustering (Version 2.0.2)	2020
soundgen: Sound Synthesis and Acoustic Analysis (Version 2.7.1)	2017
squat: Statistics for Quaternion Temporal Data (Version 0.3.0)	2022
ssMousetrack: Bayesian State-Space Modeling of Mouse-Tracking Experiments via Stan (Version 1.1.6)	2018
verification: Weather Forecast Verification Utilities (Version 1.42)	2004
warbleR: Streamline Bioacoustic Analysis (Version 1.1.32)	2015

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.