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sparsevctrs: Sparse Vectors for Use in Data Frames

Provides sparse vectors powered by ALTREP (Alternative Representations for R Objects) that behave like regular vectors, and can thus be used in data frames. Also provides tools to convert between sparse matrices and data frames with sparse columns and functions to interact with sparse vectors.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: cli (≥ 3.4.0), rlang (≥ 1.1.0), vctrs
Suggests: knitr, Matrix, methods, rmarkdown, testthat (≥ 3.0.0), tibble, withr
Published: 2024-05-31
DOI: 10.32614/CRAN.package.sparsevctrs
Author: Emil Hvitfeldt ORCID iD [aut, cre], Davis Vaughan [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt at posit.co>
BugReports: https://github.com/r-lib/sparsevctrs/issues
License: MIT + file LICENSE
URL: https://github.com/r-lib/sparsevctrs, https://r-lib.github.io/sparsevctrs/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: sparsevctrs results

Documentation:

Reference manual: sparsevctrs.pdf
Vignettes: Design behind sparsevctrs

Downloads:

Package source: sparsevctrs_0.1.0.tar.gz
Windows binaries: r-devel: sparsevctrs_0.1.0.zip, r-release: sparsevctrs_0.1.0.zip, r-oldrel: sparsevctrs_0.1.0.zip
macOS binaries: r-release (arm64): sparsevctrs_0.1.0.tgz, r-oldrel (arm64): sparsevctrs_0.1.0.tgz, r-release (x86_64): sparsevctrs_0.1.0.tgz, r-oldrel (x86_64): sparsevctrs_0.1.0.tgz

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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.