Matrix Completion, Imputation, and Inpainting Methods

Filling in the missing entries of a partially observed data is one of fundamental problems in various disciplines of mathematical science. For many cases, data at our interests have canonical form of matrix in that the problem is posed upon a matrix with missing values to fill in the entries under preset assumptions and models. We provide a collection of methods from multiple disciplines under Matrix Completion, Imputation, and Inpainting. See Davenport and Romberg (2016) for an overview of the topic.


Reference manual

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0.2.0 by Kisung You, 4 months ago

Browse source code at

Authors: Kisung You [aut, cre]

Documentation:   PDF Manual  

Task views: Missing Data

GPL (>= 3) license

Imports stats, CVXR, Rcpp, Rdpack, ROptSpace, RSpectra, nabor, utils

Linking to Rcpp, RcppArmadillo

See at CRAN