crassmat (0.0.6)

0 users

Conditional Random Sampling Sparse Matrices.

http://cran.r-project.org/web/packages/crassmat

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.

Maintainer: Nick Kunz
Author(s): Nick Kunz

License: GPL-3

Uses: svMisc, NMF, recommenderlab

Released 5 months ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of crassmat yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for crassmat on google, google scholar, r-help, r-devel.

Visit crassmat on R Graphical Manual.