This vignette provides an introduction to the R package
ILSE, where the function ILSE implements the
model ILSE, Linear Regression by Iterative Least Square
Estimation (ILSE) When Covariates Include Missing Values. The package
can be installed with the command from Github:
library(remotes)
remotes::install_github("feiyoung/ILSE")
or install from CRAN
install.packages("ILSE")
library(ILSE)
#> ILSE : 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) <doi:10.1080/07350015.2019.1635486>.
#>
#> Attaching package: 'ILSE'
#> The following objects are masked from 'package:base':
#>
#> print, summary