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Iterative methods for matrix completion that use nuclear-norm regularization. There are two main approaches.The one approach uses iterative soft-thresholded svds to impute the missing values. The second approach uses alternating least squares. Both have an "EM" flavor, in that at each iteration the matrix is completed with the current estimate. For large matrices there is a special sparse-matrix class named "Incomplete" that efficiently handles all computations. The package includes procedures for centering and scaling rows, columns or both, and for computing low-rank SVDs on large sparse centered matrices (i.e. principal components)

copied from cf-post-staging / r-softimpute
Type Size Name Uploaded Downloads Labels
conda 486.4 kB | linux-aarch64/r-softimpute-1.4_3-r44ha805bf2_0.conda  3 months and 16 days ago 29 main
conda 482.4 kB | linux-aarch64/r-softimpute-1.4_3-r43ha805bf2_0.conda  3 months and 16 days ago 30 main
conda 482.9 kB | linux-ppc64le/r-softimpute-1.4_3-r43h3c41951_0.conda  3 months and 16 days ago 12 main
conda 487.3 kB | linux-ppc64le/r-softimpute-1.4_3-r44h3c41951_0.conda  3 months and 16 days ago 13 main
conda 487.3 kB | osx-64/r-softimpute-1.4_3-r44hb3c2f18_0.conda  3 months and 16 days ago 44 main
conda 491.1 kB | win-64/r-softimpute-1.4_3-r44hb0f4521_0.conda  3 months and 16 days ago 34 main
conda 485.1 kB | win-64/r-softimpute-1.4_3-r43hb0f4521_0.conda  3 months and 16 days ago 36 main
conda 488.4 kB | osx-arm64/r-softimpute-1.4_3-r44he0ea626_0.conda  3 months and 16 days ago 66 main
conda 483.3 kB | osx-arm64/r-softimpute-1.4_3-r43he0ea626_0.conda  3 months and 16 days ago 53 main
conda 483.6 kB | osx-64/r-softimpute-1.4_3-r43hb3c2f18_0.conda  3 months and 16 days ago 44 main
conda 486.5 kB | linux-64/r-softimpute-1.4_3-r44hb67ce94_0.conda  3 months and 16 days ago 487 main
conda 482.3 kB | linux-64/r-softimpute-1.4_3-r43hb67ce94_0.conda  3 months and 16 days ago 402 main

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