ILSE: Linear Regression Based on 'ILSE' for Missing Data

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>.

Version: 1.1.7
Depends: R (≥ 3.0.1)
Imports: stats, Rcpp, pbapply
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2022-01-31
Author: Wei Liu [aut, cre], Huazhen Lin [aut], Wei Lan [aut]
Maintainer: Wei Liu <weiliu at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: ILSE results


Reference manual: ILSE.pdf
Vignettes: ILSE: a simple NHANES example
ILSE: simulated examples


Package source: ILSE_1.1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ILSE_1.1.7.tgz, r-oldrel (arm64): ILSE_1.1.7.tgz, r-release (x86_64): ILSE_1.1.7.tgz, r-oldrel (x86_64): ILSE_1.1.7.tgz
Old sources: ILSE archive


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