misaem
Linear Regression and Logistic Regression with Missing Covariates
Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M., TraumaBase Group (2020) <doi:10.1016/j.csda.2019.106907>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | misaem_1.1.0.tar.gz |
128.2 KiB |
1.1.0 |
rolling linux/noble R-4.5 | misaem_1.1.0.tar.gz |
128.5 KiB |
1.1.0 |
rolling source/ R- | misaem_1.1.0.tar.gz |
35.5 KiB |
1.1.0 |
latest linux/jammy R-4.5 | misaem_1.1.0.tar.gz |
128.2 KiB |
1.1.0 |
latest linux/noble R-4.5 | misaem_1.1.0.tar.gz |
128.5 KiB |
1.1.0 |
latest source/ R- | misaem_1.1.0.tar.gz |
35.5 KiB |
1.1.0 |
2026-04-26 source/ R- | misaem_1.1.0.tar.gz |
35.5 KiB |
1.1.0 |
2026-04-23 source/ R- | misaem_1.1.0.tar.gz |
35.5 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | misaem_1.1.0.zip |
132.9 KiB |
1.0.1 |
2025-04-20 source/ R- | misaem_1.0.1.tar.gz |
33.3 KiB |