filling
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)
- Version0.2.3
- R version≥ 2.14.0
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?Yes
- Last release08/21/2021
Documentation
Team
Kisung You
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports8 packages
- Linking To2 packages