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>.
| Version: |
1.6.1 |
| 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 |
| Published: |
2026-07-22 |
| DOI: |
10.32614/CRAN.package.rbmi |
| Author: |
Lukas A. Widmer 
[aut, cre],
Craig Gower-Page [aut],
Isaac Gravestock
[aut],
Alessandro Noci [aut],
Marcel Wolbers
[aut],
Daniel Sabanes Bove
[aut],
F. Hoffmann-La Roche AG [cph, fnd] |
| Maintainer: |
Lukas A. Widmer <lukas_andreas.widmer at novartis.com> |
| BugReports: |
https://github.com/openpharma/rbmi/issues |
| License: |
Apache License (≥ 2) |
| URL: |
https://openpharma.github.io/rbmi/,
https://github.com/openpharma/rbmi |
| NeedsCompilation: |
no |
| Language: |
en-GB |
| Citation: |
rbmi citation info |
| Materials: |
README, NEWS |
| In views: |
ClinicalTrials |
| CRAN checks: |
rbmi results |