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:	0.3.6
Depends:	R (≥ 4.1)
Imports:	cli (≥ 3.4.0), rlang (≥ 1.1.0), vctrs
Suggests:	knitr, Matrix, methods, rmarkdown, testthat (≥ 3.0.0), tibble, withr
Published:	2026-01-27
DOI:	10.32614/CRAN.package.sparsevctrs
Author:	Emil Hvitfeldt [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.html , sparsevctrs.pdf
Vignettes:	Design behind sparsevctrs (source, R code)

Downloads:

Package source:	sparsevctrs_0.3.6.tar.gz
Windows binaries:	r-devel: sparsevctrs_0.3.6.zip, r-release: sparsevctrs_0.3.6.zip, r-oldrel: sparsevctrs_0.3.6.zip
macOS binaries:	r-release (arm64): sparsevctrs_0.3.6.tgz, r-oldrel (arm64): sparsevctrs_0.3.6.tgz, r-release (x86_64): sparsevctrs_0.3.6.tgz, r-oldrel (x86_64): sparsevctrs_0.3.6.tgz
Old sources:	sparsevctrs archive

Reverse dependencies:

Reverse imports:

hardhat, parsnip, recipes, textrecipes, workflows

Linking:

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