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ISR
View on CRAN: Click
here
Download and install ISR package within the R console
Install from CRAN:
install.packages("ISR")
Install from Github:
library("remotes")
install_github("cran/ISR")
Install by package version:
library("remotes")
install_version("ISR", "2025.01.14")
Attach the package and use:
library("ISR")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-09
Latest Update: 2022-04-22
Description:
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) .
How to cite:
Guangbao Guo (2021). ISR: The Iterated Score Regression-Based Estimation. R package version 2025.01.14, https://cran.r-project.org/web/packages/ISR. Accessed 02 May. 2025.
Previous versions and publish date:
2021.09.09 (2021-09-09 16:00), 2021.09.15 (2021-09-15 12:20), 2021.9.24 (2021-09-24 06:40), 2022.3.28 (2022-04-04 15:00), 2022.4.22 (2022-04-22 14:00), 2025-01-10 (2025-01-11 10:40)
Other packages that cited ISR R package
View ISR citation profile
Other R packages that ISR depends,
imports, suggests or enhances
Complete documentation for ISR
Functions, R codes and Examples using
the ISR R package
Some associated functions: CKD . DISR . HCV . ISR . MMLPCA . MNIPALS . MRPCA . Mean . PM2.5 . SR . orange . ozone . review .
Some associated R codes: DISR.R . ISR.R . MMLPCA.R . MNIPALS.R . MRPCA.R . Mean.R . SR.R . Full ISR package functions and examples
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