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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, summaryThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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