Package: ISR 2022.4.22
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>.
Authors:
ISR_2022.4.22.tar.gz
ISR_2022.4.22.zip(r-4.5)ISR_2022.4.22.zip(r-4.4)ISR_2022.4.22.zip(r-4.3)
ISR_2022.4.22.tgz(r-4.4-any)ISR_2022.4.22.tgz(r-4.3-any)
ISR_2022.4.22.tar.gz(r-4.5-noble)ISR_2022.4.22.tar.gz(r-4.4-noble)
ISR_2022.4.22.tgz(r-4.4-emscripten)ISR_2022.4.22.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 3 years agofrom:de5a20bbf2. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | OK | Oct 30 2024 |
| R-4.5-linux | OK | Oct 30 2024 |
| R-4.4-win | OK | Oct 30 2024 |
| R-4.4-mac | OK | Oct 30 2024 |
| R-4.3-win | OK | Oct 30 2024 |
| R-4.3-mac | OK | Oct 30 2024 |
Exports:DISRISRMeanMMLPCAMNIPALSMRPCASR
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CKD | CKD |
| Distributed iterated score regression | DISR |
| HCV | HCV |
| Iterated score regression | ISR |
| Mean method | Mean |
| Modified maximum likelihood principal component analysis | MMLPCA |
| Modified nonlinear iterative partial least squares method | MNIPALS |
| Modified regularized PCA | MRPCA |
| orange | orange |
| ozone | ozone |
| PM2.5 | PM2.5 |
| review | review |
| Score regression | SR |
