Package: crassmat 0.0.6
crassmat: Conditional Random Sampling Sparse Matrices
Conducts conditional random sampling on observed values in sparse matrices. Useful for training and test set splitting sparse matrices prior to model fitting in cross-validation procedures and estimating the predictive accuracy of data imputation methods, such as matrix factorization or singular value decomposition (SVD). Although designed for applications with sparse matrices, CRASSMAT can also be applied to complete matrices, as well as to those containing missing values.
Authors:
crassmat_0.0.6.tar.gz
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crassmat.pdf |crassmat.html✨
crassmat/json (API)
NEWS
# Install 'crassmat' in R: |
install.packages('crassmat', repos = c('https://nickkunz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nickkunz/crassmat/issues
- A - Sparse Matrix A
matrix-functionsmatrix-librarysampling-methods
Last updated 5 years agofrom:26cabc8600. Checks:1 OK, 8 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 22 2025 |
R-4.5-win | NOTE | Mar 22 2025 |
R-4.5-mac | NOTE | Mar 22 2025 |
R-4.5-linux | NOTE | Mar 22 2025 |
R-4.4-win | NOTE | Mar 22 2025 |
R-4.4-mac | NOTE | Mar 22 2025 |
R-4.4-linux | NOTE | Mar 22 2025 |
R-4.3-win | NOTE | Mar 22 2025 |
R-4.3-mac | NOTE | Mar 22 2025 |
Exports:crassmat
Readme and manuals
Help Manual
Help page | Topics |
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Sparse Matrix A | A |
Conditional Random Sampling Sparse Matrices | crassmat |