{"name":"R-crassmat","portdir":"R/R-crassmat","version":"0.0.6","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=crassmat","description":"Conditional Random Sampling Sparse Matrices","long_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).","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-svMisc","R-CRAN-recommended"]},{"type":"run","ports":["R"]}],"depends_on":[]}