ISR: The Iterated Score Regression-Based Estimation Algorithm
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 |
Documentation:
| Reference manual: | ISR.pdf |
Downloads:
| 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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