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.tar.gz(r-4.5-noble)arrApply_2.2.1.tar.gz(r-4.4-noble)
arrApply_2.2.1.tgz(r-4.4-emscripten)arrApply_2.2.1.tgz(r-4.3-emscripten)
arrApply.pdf |arrApply.html
arrApply/json (API)
NEWS

# 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

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

openblascpp

1.48 score 1 packages 255 downloads 1 exports 2 dependencies

Last updated 11 days agofrom:bca58baf27. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 07 2025
R-4.5-linux-x86_64OKFeb 07 2025

Exports:arrApply

Dependencies:RcppRcppArmadillo