Package: arrApply 2.2.1

Serguei Sokol

arrApply: Apply a Function to a Margin of an Array

High performance variant of apply() for a fixed set of functions. Considerable speedup of this implementation is a trade-off for universality: user defined functions cannot be used with this package. However, about 20 most currently employed functions are available for usage. They can be divided in three types: reducing functions (like mean(), sum() etc., giving a scalar when applied to a vector), mapping function (like normalise(), cumsum() etc., giving a vector of the same length as the input vector) and finally, vector reducing function (like diff() which produces result vector of a length different from the length of input vector). Optional or mandatory additional arguments required by some functions (e.g. norm type for norm()) can be passed as named arguments in '...'.

Authors:Serguei Sokol [aut, cre]

arrApply_2.2.1.tar.gz
arrApply_2.2.1.zip(r-4.7-x86_64)arrApply_2.2.1.zip(r-4.7-arm64)arrApply_2.2.1.zip(r-4.6-x86_64)arrApply_2.2.1.zip(r-4.6-arm64)
arrApply_2.2.1.tar.gz(r-4.7-arm64)arrApply_2.2.1.tar.gz(r-4.7-x86_64)arrApply_2.2.1.tar.gz(r-4.6-arm64)arrApply_2.2.1.tar.gz(r-4.6-x86_64)
arrApply_2.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
arrApply/json (API)

# Install 'arrApply' in R:
install.packages('arrApply', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.78 score 2 packages 384 downloads 1 exports 2 dependencies

Last updated from:bca58baf27. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK92
linux-devel-x86_64OK116
source / vignettesOK198
linux-release-arm64OK85
linux-release-x86_64OK108
windows-devel-arm64OK201
windows-devel-x86_64OK1009
windows-release-arm64OK279
windows-release-x86_64OK130
wasm-releaseOK97

Exports:arrApply

Dependencies:RcppRcppArmadillo