BlockMissingData
Integrating Multi-Source Block-Wise Missing Data in Model Selection
Model selection method with multiple block-wise imputation for block-wise missing data; see Xue, F., and Qu, A. (2021) <doi:10.1080/01621459.2020.1751176>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | BlockMissingData_0.1.1.tar.gz |
75.6 KiB |
0.1.1 |
rolling linux/noble R-4.5 | BlockMissingData_0.1.1.tar.gz |
75.5 KiB |
0.1.1 |
rolling source/ R- | BlockMissingData_0.1.1.tar.gz |
13.9 KiB |
0.1.1 |
latest linux/jammy R-4.5 | BlockMissingData_0.1.1.tar.gz |
75.6 KiB |
0.1.1 |
latest linux/noble R-4.5 | BlockMissingData_0.1.1.tar.gz |
75.5 KiB |
0.1.1 |
latest source/ R- | BlockMissingData_0.1.1.tar.gz |
13.9 KiB |
0.1.1 |
2026-04-23 source/ R- | BlockMissingData_0.1.1.tar.gz |
0 B |
0.1.0 |
2025-04-20 source/ R- | BlockMissingData_0.1.0.tar.gz |
13.4 KiB |