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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: 0.1.0
Imports: rlang, vctrs
Suggests: lifecycle, testthat (≥ 3.0.0)
Published: 2025-06-29
DOI: 10.32614/CRAN.package.vecvec
Author: Mitchell O'Hara-Wild ORCID iD [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail at mitchelloharawild.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: vecvec results

Documentation:

Reference manual: vecvec.html , vecvec.pdf

Downloads:

Package source: vecvec_0.1.0.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_0.1.0.tgz, r-oldrel (arm64): vecvec_0.1.0.tgz, r-release (x86_64): vecvec_0.1.0.tgz, r-oldrel (x86_64): vecvec_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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