misPRIME
Partial Replacement Imputation Estimation for Missing Covariates
Partial Replacement Imputation Estimation (PRIME) can overcome problems caused by missing covariates in additive partially linear model. PRIME conducts imputation and regression simultaneously with known and unknown model structure. More details can be referred to Zishu Zhan, Xiangjie Li and Jingxiao Zhang. (2022) <arXiv:2205.14994>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | misPRIME_0.1.0.tar.gz |
44.3 KiB |
0.1.0 |
rolling linux/noble R-4.5 | misPRIME_0.1.0.tar.gz |
44.1 KiB |
0.1.0 |
rolling source/ R- | misPRIME_0.1.0.tar.gz |
17.5 KiB |
0.1.0 |
latest linux/jammy R-4.5 | misPRIME_0.1.0.tar.gz |
44.3 KiB |
0.1.0 |
latest linux/noble R-4.5 | misPRIME_0.1.0.tar.gz |
44.1 KiB |
0.1.0 |
latest source/ R- | misPRIME_0.1.0.tar.gz |
17.5 KiB |
0.1.0 |
2026-04-26 source/ R- | misPRIME_0.1.0.tar.gz |
17.5 KiB |
0.1.0 |
2026-04-23 source/ R- | misPRIME_0.1.0.tar.gz |
17.5 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | misPRIME_0.1.0.zip |
47.4 KiB |
0.1.0 |
2025-04-20 source/ R- | misPRIME_0.1.0.tar.gz |
17.5 KiB |