rbmi
Reference Based Multiple Imputation
Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.6.0 |
rolling linux/jammy R-4.5 | rbmi_1.6.0.tar.gz |
861.8 KiB |
1.6.0 |
rolling linux/noble R-4.5 | rbmi_1.6.0.tar.gz |
858.4 KiB |
1.6.0 |
rolling source/ R- | rbmi_1.6.0.tar.gz |
397.5 KiB |
1.6.0 |
latest linux/jammy R-4.5 | rbmi_1.6.0.tar.gz |
861.8 KiB |
1.6.0 |
latest linux/noble R-4.5 | rbmi_1.6.0.tar.gz |
858.4 KiB |
1.6.0 |
latest source/ R- | rbmi_1.6.0.tar.gz |
397.5 KiB |
1.6.0 |
2026-04-26 source/ R- | rbmi_1.6.0.tar.gz |
397.5 KiB |
1.6.0 |
2026-04-23 source/ R- | rbmi_1.6.0.tar.gz |
397.5 KiB |
1.6.0 |
2026-04-09 windows/windows R-4.5 | rbmi_1.6.0.zip |
874.1 KiB |
1.4.1 |
2025-04-20 source/ R- | rbmi_1.4.1.tar.gz |
370.2 KiB |