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
```