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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 '...'.
| Version: | 2.2 |
| Imports: | Rcpp (≥ 0.12.0) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat |
| Published: | 2023-01-10 |
| DOI: | 10.32614/CRAN.package.arrApply |
| Author: | Serguei Sokol |
| Maintainer: | Serguei Sokol <sokol at insa-toulouse.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Materials: | NEWS |
| CRAN checks: | arrApply results |
| Reference manual: | arrApply.pdf |
| Package source: | arrApply_2.2.tar.gz |
| Windows binaries: | r-devel: arrApply_2.2.zip, r-release: arrApply_2.2.zip, r-oldrel: arrApply_2.2.zip |
| macOS binaries: | r-release (arm64): arrApply_2.2.tgz, r-oldrel (arm64): arrApply_2.2.tgz, r-release (x86_64): arrApply_2.2.tgz, r-oldrel (x86_64): arrApply_2.2.tgz |
| Old sources: | arrApply archive |
| Reverse imports: | bspline |
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