distantia: Advanced Toolset for Efficient Time Series Dissimilarity Analysis

Fast C++ implementation of Dynamic Time Warping for time series dissimilarity analysis, with applications in environmental monitoring and sensor data analysis, climate science, signal processing and pattern recognition, and financial data analysis. Built upon the ideas presented in Benito and Birks (2020) <doi:10.1111/ecog.04895>, provides tools for analyzing time series of varying lengths and structures, including irregular multivariate time series. Key features include individual variable contribution analysis, restricted permutation tests for statistical significance, and imputation of missing data via GAMs. Additionally, the package provides an ample set of tools to prepare and manage time series data.

Version:	2.0.0
Depends:	R (≥ 4.1), doFuture
Imports:	Rcpp, zoo, foreach, future.apply, lubridate, progressr
LinkingTo:	Rcpp
Suggests:	roxyglobals, spelling, sf, lwgeom, testthat (≥ 3.0.0)
Published:	2025-01-08
DOI:	10.32614/CRAN.package.distantia
Author:	Blas M. Benito [aut, cre, cph]
Maintainer:	Blas M. Benito <blasbenito at gmail.com>
BugReports:	https://github.com/BlasBenito/distantia/issues
License:	MIT + file LICENSE
URL:	https://blasbenito.github.io/distantia/
NeedsCompilation:	yes
Language:	en-US
Citation:	distantia citation info
Materials:	README NEWS
CRAN checks:	distantia results

Documentation:

Reference manual:

distantia.pdf

Downloads:

Package source:	distantia_2.0.0.tar.gz
Windows binaries:	r-devel: distantia_2.0.0.zip, r-release: distantia_2.0.0.zip, r-oldrel: distantia_2.0.0.zip
macOS binaries:	r-release (arm64): distantia_2.0.0.tgz, r-oldrel (arm64): distantia_2.0.0.tgz, r-release (x86_64): distantia_2.0.0.tgz, r-oldrel (x86_64): distantia_2.0.0.tgz
Old sources:	distantia archive

Linking:

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