Package: coop 0.6-3

Drew Schmidt

coop: Co-Operation: Fast Covariance, Correlation, and Cosine Similarity Operations

Fast implementations of the co-operations: covariance, correlation, and cosine similarity. The implementations are fast and memory-efficient and their use is resolved automatically based on the input data, handled by R's S3 methods. Full descriptions of the algorithms and benchmarks are available in the package vignettes.

Authors:Drew Schmidt [aut, cre], Christian Heckendorf [ctb]

coop_0.6-3.tar.gz
coop_0.6-3.zip(r-4.7-x86_64)coop_0.6-3.zip(r-4.7-arm64)coop_0.6-3.zip(r-4.6-x86_64)coop_0.6-3.zip(r-4.6-arm64)
coop_0.6-3.tar.gz(r-4.7-arm64)coop_0.6-3.tar.gz(r-4.7-x86_64)coop_0.6-3.tar.gz(r-4.6-arm64)coop_0.6-3.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
coop/json (API)

# Install 'coop' in R:
install.packages('coop', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wrathematics/coop/issues

Uses libs:
  • openblas– Optimized BLAS
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblasopenmp

6.46 score 15 packages 213 scripts 1.5k downloads 2 mentions 8 exports 0 dependencies

Last updated from:aab4f5f491. Checks:9 OK, 1 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK150
linux-devel-x86_64OK99
source / vignettesOK153
linux-release-arm64OK76
linux-release-x86_64OK112
windows-devel-arm64OK207
windows-devel-x86_64OK81
windows-release-arm64OK208
windows-release-x86_64OK61
wasm-releaseFAIL74

Exports:cosinecovarpcorscalersparsitytcosinetcovartpcor

Dependencies:

Algorithms and Benchmarks for the coop Package
Introduction | The Algorithms with Notes on Implementation | Benchmarks | References
Rendered fromalgos.Rnwusingutils::Sweave

Last update: 2019-04-22
Started: 2016-12-13

Introducing coop: Fast Covariance, Correlation, and Cosine Operations
Introduction | Choice of BLAS Library | The Operations | References
Rendered fromcoop.Rnwusingutils::Sweave

Last update: 2019-04-22
Started: 2016-12-13