crassmat
Conditional Random Sampling Sparse Matrices
v0.0.6
·
Jul 2, 2019
·
GPL-3
Description
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.
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| r-devel-linux-x86_64-debian-gcc | NOTE |
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| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
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| r-release-windows-x86_64 | OK |
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
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r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘Nick Kunz <nick.kunz@columbia.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Nick",
family = "Kunz",
role = c("aut", "cre"),
email = "nick.kunz@columbia.edu")
as necessary.
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r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Nick Kunz <nick.kunz@columbia.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Nick",
family = "Kunz",
role = c("aut", "cre"),
email = "nick.kunz@columbia.edu")
as necessary.
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0.0.6
Mar 9, 2026