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).
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).
To install R-crassmat, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install R-crassmat
To see what files were installed by R-crassmat, run:
port contents R-crassmat
To later upgrade R-crassmat, run:
sudo port selfupdate && sudo port upgrade R-crassmat
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