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 smail.swufe.edu.cn>
BugReports: https://github.com/feiyoung/ILSE/issues
License: GPL-3
URL: https://github.com/feiyoung/ILSE
NeedsCompilation: yes
Materials: README
CRAN checks: ILSE results

Documentation:

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

Downloads:

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

Linking:

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