Package: ISR 2025.5.16
ISR: The Iterated Score Regression-Based Estimation
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>.
Authors:
ISR_2025.5.16.tar.gz
ISR_2025.5.16.zip(r-4.7)ISR_2025.5.16.zip(r-4.6)ISR_2025.5.16.zip(r-4.5)
ISR_2025.5.16.tgz(r-4.6-any)ISR_2025.5.16.tgz(r-4.5-any)
ISR_2025.5.16.tar.gz(r-4.7-any)ISR_2025.5.16.tar.gz(r-4.6-any)
ISR_2025.5.16.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ISR/json (API)
| # Install 'ISR' in R: |
| install.packages('ISR', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f6f3215546. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 111 | ||
| source / vignettes | OK | 140 | ||
| linux-release-x86_64 | OK | 108 | ||
| macos-release-arm64 | OK | 125 | ||
| macos-oldrel-arm64 | OK | 94 | ||
| windows-devel | OK | 86 | ||
| windows-release | OK | 85 | ||
| windows-oldrel | OK | 86 | ||
| wasm-release | OK | 89 |
Exports:DISRISRMeanMMLPCAMNIPALSMRPCASR
Dependencies:MASS
