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crassmat
View on CRAN: Click
here
Download and install crassmat package within the R console
Install from CRAN:
install.packages("crassmat")
Install from Github:
library("remotes")
install_github("cran/crassmat")
Install by package version:
library("remotes")
install_version("crassmat", "0.0.6")
Attach the package and use:
library("crassmat")
Maintained by
Nick Kunz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-02
Latest Update: 2019-07-02
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.
How to cite:
Nick Kunz (2019). crassmat: Conditional Random Sampling Sparse Matrices. R package version 0.0.6, https://cran.r-project.org/web/packages/crassmat. Accessed 02 Feb. 2025.
Previous versions and publish date:
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Complete documentation for crassmat
Functions, R codes and Examples using
the crassmat R package
Some associated functions: A . crassmat .
Some associated R codes: A.R . CRASSMAT.R . Full crassmat package functions and examples
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