feiyoung/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>.
Getting started
Browse package contents
Package details |
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| Author | Wei Liu [aut, cre], Huazhen Lin [aut], Wei Lan [aut] |
| Maintainer | Wei Liu <weiliu@smail.swufe.edu.cn> |
| License | GPL-3 |
| Version | 1.1.7 |
| URL | https://github.com/feiyoung/ILSE |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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