Installation
About
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.
insightsengineering.github.io/rbmi/ | |
github.com/insightsengineering/rbmi | |
System requirements | GNU make |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 10 0% |
Last 7 days | 67 -44% |
Last 30 days | 312 -15% |
Last 90 days | 980 -35% |
Last 365 days | 4.853 +19% |
Depends
R | ≥ 3.4.0 |