Package: ISR 2025.01.14
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_2025.01.14.tar.gz
ISR_2025.01.14.zip(r-4.5)ISR_2025.01.14.zip(r-4.4)ISR_2025.01.14.zip(r-4.3)
ISR_2025.01.14.tgz(r-4.5-any)ISR_2025.01.14.tgz(r-4.4-any)ISR_2025.01.14.tgz(r-4.3-any)
ISR_2025.01.14.tar.gz(r-4.5-noble)ISR_2025.01.14.tar.gz(r-4.4-noble)
ISR_2025.01.14.tgz(r-4.4-emscripten)ISR_2025.01.14.tgz(r-4.3-emscripten)
ISR.pdf |ISR.html✨
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 2 months agofrom:fc4c5f5c8b. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 28 2025 |
| R-4.5-win | OK | Mar 28 2025 |
| R-4.5-mac | OK | Mar 28 2025 |
| R-4.5-linux | OK | Mar 28 2025 |
| R-4.4-win | OK | Mar 28 2025 |
| R-4.4-mac | OK | Mar 28 2025 |
| R-4.4-linux | OK | Mar 28 2025 |
| R-4.3-win | OK | Mar 28 2025 |
| R-4.3-mac | OK | Mar 28 2025 |
Exports:DISRISRMeanMMLPCAMNIPALSMRPCASR
Dependencies:MASS
