Package: distantia Type: Package Title: Advanced Toolset for Efficient Time Series Dissimilarity Analysis Version: 2.0.3 Authors@R: person(given = "Blas M.", family = "Benito", , email = "blasbenito@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0001-5105-7232")) URL: https://blasbenito.github.io/distantia/ BugReports: https://github.com/BlasBenito/distantia/issues Description: 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) , 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. License: MIT + file LICENSE Encoding: UTF-8 LazyData: true Depends: R (>= 4.1), doFuture Imports: Rcpp, zoo, foreach, future.apply, lubridate, progressr Suggests: roxyglobals, spelling, sf, lwgeom, testthat (>= 3.0.0) Roxygen: list(roclets = c("collate", "namespace", "rd", "roxyglobals::global_roclet"), markdown = TRUE) Config/roxyglobals/filename: globals.R Config/roxyglobals/unique: FALSE Config/testthat/edition: 3 LinkingTo: Rcpp Language: en-US Config/roxygen2/version: 8.0.0 Repository: https://blasbenito.r-universe.dev Date/Publication: 2026-06-24 08:14:00 UTC RemoteUrl: https://github.com/blasbenito/distantia RemoteRef: HEAD RemoteSha: e3d2ec513dd1bdad35096984115aedc87c6a4d6d NeedsCompilation: yes Packaged: 2026-06-24 10:36:34 UTC; root Author: Blas M. Benito [aut, cre, cph] (ORCID: ) Maintainer: Blas M. Benito