rbmi: Reference Based Multiple Imputation

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
DOI: NA
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

Documentation:

Reference manual: rbmi.pdf
Vignettes: rbmi: Advanced Functionality
rbmi: Quickstart
rbmi: Statistical Specifications

Downloads:

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

Linking:

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