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Algorithm to handle with PCA-based missing data, where ISR is for PCA-based missing data with high correlation and DISR is for distributed PCA-based missing data. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
Version: | 2022.4.22 |
Depends: | R (≥ 3.5.0) |
Imports: | MASS, stats |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2022-04-22 |
DOI: | 10.32614/CRAN.package.ISR |
Author: | Guangbao Guo [aut, cre], Haoyue Song [aut], Lixing Zhu [aut] |
Maintainer: | Guangbao Guo <ggb11111111 at 163.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
CRAN checks: | ISR results |
Reference manual: | ISR.pdf |
Package source: | ISR_2022.4.22.tar.gz |
Windows binaries: | r-devel: ISR_2022.4.22.zip, r-release: ISR_2022.4.22.zip, r-oldrel: ISR_2022.4.22.zip |
macOS binaries: | r-release (arm64): ISR_2022.4.22.tgz, r-oldrel (arm64): ISR_2022.4.22.tgz, r-release (x86_64): ISR_2022.4.22.tgz, r-oldrel (x86_64): ISR_2022.4.22.tgz |
Old sources: | ISR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.