Package: sparsevctrs 0.2.0.9000
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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.
Authors:
sparsevctrs_0.2.0.9000.tar.gz
sparsevctrs_0.2.0.9000.zip(r-4.5)sparsevctrs_0.2.0.9000.zip(r-4.4)sparsevctrs_0.2.0.9000.zip(r-4.3)
sparsevctrs_0.2.0.9000.tgz(r-4.5-x86_64)sparsevctrs_0.2.0.9000.tgz(r-4.5-arm64)sparsevctrs_0.2.0.9000.tgz(r-4.4-x86_64)sparsevctrs_0.2.0.9000.tgz(r-4.4-arm64)sparsevctrs_0.2.0.9000.tgz(r-4.3-x86_64)sparsevctrs_0.2.0.9000.tgz(r-4.3-arm64)
sparsevctrs_0.2.0.9000.tar.gz(r-4.5-noble)sparsevctrs_0.2.0.9000.tar.gz(r-4.4-noble)
sparsevctrs_0.2.0.9000.tgz(r-4.4-emscripten)sparsevctrs_0.2.0.9000.tgz(r-4.3-emscripten)
sparsevctrs.pdf |sparsevctrs.html✨
sparsevctrs/json (API)
NEWS
# Install 'sparsevctrs' in R: |
install.packages('sparsevctrs', repos = c('https://r-lib.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/r-lib/sparsevctrs/issues
Pkgdown site:https://r-lib.github.io
Last updated 15 hours agofrom:ab29c66df0. Checks:11 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 14 2025 |
R-4.5-win-x86_64 | OK | Feb 14 2025 |
R-4.5-mac-x86_64 | OK | Feb 14 2025 |
R-4.5-mac-aarch64 | OK | Feb 14 2025 |
R-4.5-linux-x86_64 | OK | Feb 14 2025 |
R-4.4-win-x86_64 | OK | Feb 14 2025 |
R-4.4-mac-x86_64 | OK | Feb 14 2025 |
R-4.4-mac-aarch64 | OK | Feb 14 2025 |
R-4.3-win-x86_64 | OK | Feb 14 2025 |
R-4.3-mac-x86_64 | OK | Feb 14 2025 |
R-4.3-mac-aarch64 | OK | Feb 14 2025 |
Exports:as_sparse_characteras_sparse_doubleas_sparse_integeras_sparse_logicalcoerce_to_sparse_data_framecoerce_to_sparse_matrixcoerce_to_sparse_tibblehas_sparse_elementsis_sparse_characteris_sparse_doubleis_sparse_integeris_sparse_logicalis_sparse_numericis_sparse_vectorsparse_addition_scalarsparse_charactersparse_defaultsparse_division_scalarsparse_doublesparse_dummysparse_integersparse_logicalsparse_meansparse_mediansparse_multiplication_scalarsparse_positionssparse_sdsparse_subtraction_scalarsparse_valuessparse_varsparsity