Other packages > Find by keyword >

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", "0.2.7")



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 0.2.7, https://cran.r-project.org/web/packages/parallelDist. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:39), 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), 0.2.6 (2022-02-04 00:50)
Other packages that cited parallelDist R package
View parallelDist citation profile
Other R packages that parallelDist depends, imports, suggests or enhances
Complete documentation for parallelDist
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

VEwaningVariant  
Vaccine Efficacy Over Time - Variant Aware
Implements methods for inference on potential waning of vaccine efficacy and for estimation of vacci ...
Download / Learn more Package Citations See dependency  
alabama  
Constrained Nonlinear Optimization
Augmented Lagrangian Adaptive Barrier Minimization Algorithm for optimizing smooth nonlinear object ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
rt.test  
Robustified t-Test
Performs one-sample t-test based on robustified statistics using median/MAD (TA) and Hodges-Lehmann/ ...
Download / Learn more Package Citations See dependency  
VFS  
Vegetated Filter Strip and Erosion Model
Empirical models for runoff, erosion, and phosphorus loss across a vegetated filter strip, given sl ...
Download / Learn more Package Citations See dependency  
FastKNN  
Fast k-Nearest Neighbors
Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast wa ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA