rbmi

Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) ). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) , Bayesian multiple imputation as described in Carpenter et al. (2013) , and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) .

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