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parallelDist  

Parallel Distance Matrix Computation using Multiple Threads
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("parallelDist", "0.2.6")



Attach the package and use:
library("parallelDist")
Maintained by
Alexander Eckert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-06
Latest Update: 2022-02-03
Description:
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.
How to cite:
Alexander Eckert (2017). parallelDist: Parallel Distance Matrix Computation using Multiple Threads. R package version 0.2.6, https://cran.r-project.org/web/packages/parallelDist
Previous versions and publish date:
0.1.0 (2017-06-06 12:18), 0.1.1 (2017-06-07 23:35), 0.2.0 (2017-09-27 23:05), 0.2.1 (2017-12-05 00:47), 0.2.2 (2018-09-24 21:30), 0.2.3 (2018-12-12 00:30), 0.2.4 (2018-12-12 23:50)
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Functions, R codes and Examples using the parallelDist R package
Some associated functions: parDist . 
Some associated R codes: RcppExports.R . parDist.R .  Full parallelDist package functions and examples
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