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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: | 1.2.6 |
| Depends: | R (≥ 3.4.0) |
| Imports: | mmrm, pkgload, Matrix, methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), rstantools (≥ 2.1.1), R6, assertthat |
| LinkingTo: | BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0) |
| Suggests: | dplyr, tidyr, nlme, testthat, emmeans, tibble, mvtnorm, knitr, rmarkdown, bookdown, lubridate, purrr, ggplot2, R.rsp |
| Published: | 2023-11-24 |
| Author: | Craig Gower-Page [aut, cre], Alessandro Noci [aut], Marcel Wolbers [ctb], Roche [cph, fnd] |
| Maintainer: | Craig Gower-Page <craig.gower-page at roche.com> |
| BugReports: | https://github.com/insightsengineering/rbmi/issues |
| License: | Apache License (≥ 2) |
| URL: | https://insightsengineering.github.io/rbmi/, https://github.com/insightsengineering/rbmi |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README NEWS |
| In views: | ClinicalTrials |
| CRAN checks: | rbmi results |
| Reference manual: | rbmi.pdf |
| Vignettes: |
rbmi: Advanced Functionality rbmi: Quickstart rbmi: Statistical Specifications |
| Package source: | rbmi_1.2.6.tar.gz |
| Windows binaries: | r-devel: rbmi_1.2.6.zip, r-release: rbmi_1.2.6.zip, r-oldrel: rbmi_1.2.6.zip |
| macOS binaries: | r-release (arm64): rbmi_1.2.6.tgz, r-oldrel (arm64): rbmi_1.2.6.tgz, r-release (x86_64): rbmi_1.2.6.tgz, r-oldrel (x86_64): rbmi_1.2.6.tgz |
| Old sources: | rbmi archive |
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