We use the ISR to handle with PCA-based missing data with high correlation, and the DISR to handle with distributed PCA-based missing data. The philosophy of the package is described in Guo G. (2024) <doi:10.1080/03610918.2022.2091779>.
Version: | 2025.01.14 |
Depends: | R (≥ 3.5.0) |
Imports: | MASS, stats |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2025-01-27 |
DOI: | 10.32614/CRAN.package.ISR |
Author: | Guangbao Guo |
Maintainer: | Guangbao Guo <ggb11111111 at 163.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | yes |
CRAN checks: | ISR results |
Reference manual: | ISR.pdf |
Package source: | ISR_2025.01.14.tar.gz |
Windows binaries: | r-devel: ISR_2025.01.14.zip, r-release: ISR_2025.01.14.zip, r-oldrel: ISR_2025.01.14.zip |
macOS binaries: | r-devel (arm64): ISR_2025.01.14.tgz, r-release (arm64): ISR_2025.01.14.tgz, r-oldrel (arm64): ISR_2025.01.14.tgz, r-devel (x86_64): ISR_2025.01.14.tgz, r-release (x86_64): ISR_2025.01.14.tgz, r-oldrel (x86_64): ISR_2025.01.14.tgz |
Old sources: | ISR archive |
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