Reference Based Multiple Imputation R package rbmi version 1.6.1 CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials) 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>. Software Depends: R (>= 3.4.0) Imports: mmrm, pkgload, Matrix, tools, methods, R6, assertthat, jinjar, fs, stringr, lifecycle Suggests: dplyr, tidyr, nlme, testthat, emmeans, tibble, mvtnorm, knitr, rmarkdown, bookdown, lubridate, purrr, ggplot2, rstan (>= 2.26.0), R.rsp, withr, spelling Lukas A. Widmer <lukas_andreas.widmer@novartis.com> Comprehensive R Archive Network (CRAN) Lukas A. Widmer [aut, cre] (ORCID: <https://orcid.org/0000-0003-1471-3493>), Craig Gower-Page [aut], Isaac Gravestock [aut] (ORCID: <https://orcid.org/0000-0003-0283-2065>), Alessandro Noci [aut], Marcel Wolbers [aut] (ORCID: <https://orcid.org/0000-0003-4915-9015>), Daniel Sabanes Bove [aut] (ORCID: <https://orcid.org/0000-0002-0176-9239>), F. Hoffmann-La Roche AG [cph, fnd] Apache License (>= 2) 2026-07-22 application/tgz https://CRAN.R-project.org/package=rbmi doi:10.32614/CRAN.package.rbmi en-GB