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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "parallelDist" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'parallelDist: Parallel Distance Matrix Computation using Multiple Threads'
version: 0.2.6
doi: 10.32614/CRAN.package.parallelDist
abstract: A fast parallelized alternative to R's native 'dist' function to calculate
  distance matrices for continuous, binary, and multi-dimensional input matrices,
  which supports a broad variety of 41 predefined distance functions from the 'stats',
  'proxy' and 'dtw' R packages, as well as user- defined functions written in C++.
  For ease of use, the 'parDist' function extends the signature of the 'dist' function
  and uses the same parameter naming conventions as distance methods of existing R
  packages. The package is mainly implemented in C++ and leverages the 'RcppParallel'
  package to parallelize the distance computations with the help of the 'TinyThread'
  library. Furthermore, the 'Armadillo' linear algebra library is used for optimized
  matrix operations during distance calculations. The curiously recurring template
  pattern (CRTP) technique is applied to avoid virtual functions, which improves the
  Dynamic Time Warping calculations while the implementation stays flexible enough
  to support different DTW step patterns and normalization methods.
authors:
- family-names: Eckert
  given-names: Alexander
  email: info@alexandereckert.com
repository: https://fastverse.r-universe.dev
repository-code: https://github.com/alexeckert/parallelDist
commit: ef7086596f301bc2ea619e2998f0a79c69a87b52
url: https://www.alexandereckert.com/projects/#r-packages
contact:
- family-names: Eckert
  given-names: Alexander
  email: info@alexandereckert.com