CRAN/E | proxyC

proxyC

Computes Proximity in Large Sparse Matrices

Installation

About

Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.

github.com/koheiw/proxyC
Bug report File report

Key Metrics

Version 0.4.1
R ≥ 3.1.0
Published 2024-04-07 28 days ago
Needs compilation? yes
License GPL-3
CRAN checks proxyC results

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Maintainer

Maintainer

Kohei Watanabe

watanabe.kohei@gmail.com

Authors

Kohei Watanabe

cre / aut / cph

Robrecht Cannoodt

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Similarity and Distance Measures in proxyC

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

proxyC archive

Depends

R ≥ 3.1.0
methods

Imports

Matrix ≥ 1.2
Rcpp ≥ 0.12.12

Suggests

testthat
entropy
proxy
knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo ≥ 0.7.600.1.0

Reverse Depends

seededlda

Reverse Imports

applicable
dynutils
immcp
LSX
quanteda.textstats
scClassify
scFeatures
scMerge
SimBu
simplifyEnrichment

Reverse Suggests

simona