Matrix Completion, Imputation, and Inpainting Methods
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Documentation for package ‘filling’ version 0.2.3
Help Pages
| filling-package | Matrix Completion, Imputation, and Inpainting Methods |
| aux.rndmissing | Randomly assign NAs to the data matrix with probability 'x' |
| fill.HardImpute | HardImpute : Generalized Spectral Regularization |
| fill.KNNimpute | Imputation using Weighted K-nearest Neighbors |
| fill.nuclear | Low-Rank Completion with Nuclear Norm Optimization |
| fill.OptSpace | OptSpace |
| fill.simple | Imputation by Simple Rules |
| fill.SoftImpute | SoftImpute : Spectral Regularization |
| fill.SVDimpute | Iterative Regression against Right Singular Vectors |
| fill.SVT | Singular Value Thresholding for Nuclear Norm Optimization |
| fill.USVT | Matrix Completion by Universal Singular Value Thresholding |
| lena128 | lena image at size of (128 \times 128) |
| lena256 | lena image at size of (256 \times 256) |
| lena64 | lena image at size of (64 \times 64) |