# Matrix Completion, Imputation, and Inpainting Methods

## Documentation for package ‘filling’ version 0.2.4

- DESCRIPTION file
- Package NEWS

## Help Pages

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)