vecvec: Construct Mixed Type Data Structures with Vectors of Vectors

Mixed type vectors are useful for combining semantically similar classes. Some examples of semantically related classes include time across different granularities (e.g. daily, monthly, annual) and probability distributions (e.g. Normal, Uniform, Poisson). These groups of vector types typically share common statistical operations which vary in results with the attributes of each vector. The 'vecvec' data structure facilitates efficient storage and computation across multiple vectors within the same object.

Version:	0.2.0
Imports:	rlang, vctrs
Suggests:	lifecycle, testthat (≥ 3.0.0)
Published:	2025-09-18
DOI:	10.32614/CRAN.package.vecvec
Author:	Mitchell O'Hara-Wild [aut, cre]
Maintainer:	Mitchell O'Hara-Wild <mail at mitchelloharawild.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	vecvec results

Documentation:

Reference manual:

vecvec.html , vecvec.pdf

Downloads:

Package source:	vecvec_0.2.0.tar.gz
Windows binaries:	r-devel: vecvec_0.1.0.zip, r-release: vecvec_0.1.0.zip, r-oldrel: vecvec_0.1.0.zip
macOS binaries:	r-release (arm64): vecvec_0.2.0.tgz, r-oldrel (arm64): vecvec_0.2.0.tgz, r-release (x86_64): vecvec_0.2.0.tgz, r-oldrel (x86_64): vecvec_0.2.0.tgz
Old sources:	vecvec archive

Linking:

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