This package provides a set of tools for spatio-temporal imputation in R. It includes the implementation for then CUTOFF imputation method, a useful cross-validation function that can be used not only by the CUOTFF method but also by some other imputation functions to help choosing an optimal value for relevant parameters, such as the number of k-nearest neighbors for the KNN imputation method, or the number of components for the SVD imputation method. It also contains tools for simulating data with missing values with respect to some specific missing pattern, for example, block missing. Some useful visualisation functions for imputation purposes are also provided in the package.
Version: | 1.0 |
Depends: | R (≥ 3.1.0) |
Imports: | ggplot2, reshape2 |
Published: | 2014-05-13 |
Author: | Lingbing Feng, Gen Nowak, Alan. H. Welsh, Terry. J. O'Neill |
Maintainer: | Lingbing Feng <fenglb88 at gmail.com> |
License: | GPL-2 |
NeedsCompilation: | no |
Materials: | README |
In views: | MissingData |
CRAN checks: | cutoffR results |
Reference manual: | cutoffR.pdf |
Package source: | cutoffR_1.0.tar.gz |
Windows binaries: | r-devel: cutoffR_1.0.zip, r-release: cutoffR_1.0.zip, r-oldrel: cutoffR_1.0.zip |
macOS binaries: | r-release: cutoffR_1.0.tgz, r-oldrel: cutoffR_1.0.tgz |
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