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ILSE  

Linear Regression Based on 'ILSE' for Missing Data
View on CRAN: Click here


Download and install ILSE package within the R console
Install from CRAN:
install.packages("ILSE")

Install from Github:
library("remotes")
install_github("cran/ILSE")

Install by package version:
library("remotes")
install_version("ILSE", "1.1.7")



Attach the package and use:
library("ILSE")
Maintained by
Wei Liu
[Scholar Profile | Author Map]
First Published: 2022-01-07
Latest Update: 2022-01-31
Description:
Linear regression when covariates include missing values by embedding the correlation information between covariates. Especially for block missing data, it works well. 'ILSE' conducts imputation and regression simultaneously and iteratively. More details can be referred to Huazhen Lin, Wei Liu and Wei Lan. (2021) .
How to cite:
Wei Liu (2022). ILSE: Linear Regression Based on 'ILSE' for Missing Data. R package version 1.1.7, https://cran.r-project.org/web/packages/ILSE. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.1.6 (2022-01-07 14:22)
Other packages that cited ILSE R package
View ILSE citation profile
Other R packages that ILSE depends, imports, suggests or enhances
Complete documentation for ILSE
Functions, R codes and Examples using the ILSE R package
Some associated functions: Coef . cor.mat . cov.mat . fimlreg . ilse . kern . nhanes . print . summary . 
Some associated R codes: RcppExports.R . bootstrap.R . clse.R . cor.mat.R . cov.mat.R . fimlreg.R . global.R . indx.comp.R . kern.R . kern.est.R . summary.R . zzz.R .  Full ILSE package functions and examples
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