Package: rbmi
Title: Reference Based Multiple Imputation
Version: 1.2.6
Authors@R: c(
    person("Craig", "Gower-Page", email = "craig.gower-page@roche.com", role = c("aut", "cre")),
    person("Alessandro", "Noci", email = "alessandro.noci@roche.com", role = c("aut")),
    person("Marcel", "Wolbers", email = "marcel.wolbers@roche.com", role = "ctb"),
    person("Roche", role = c("cph", "fnd"))
    )
Description: 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>.
Encoding: UTF-8
LazyData: true
URL: https://insightsengineering.github.io/rbmi/,
        https://github.com/insightsengineering/rbmi
BugReports: https://github.com/insightsengineering/rbmi/issues
RoxygenNote: 7.2.3
Suggests: dplyr, tidyr, nlme, testthat, emmeans, tibble, mvtnorm,
        knitr, rmarkdown, bookdown, lubridate, purrr, ggplot2, R.rsp
Biarch: true
Config/testthat/edition: 3
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)
SystemRequirements: GNU make
Depends: R (>= 3.4.0)
License: Apache License (>= 2)
VignetteBuilder: R.rsp
NeedsCompilation: yes
Packaged: 2023-11-24 13:29:25 UTC; gowerc
Author: Craig Gower-Page [aut, cre],
  Alessandro Noci [aut],
  Marcel Wolbers [ctb],
  Roche [cph, fnd]
Maintainer: Craig Gower-Page <craig.gower-page@roche.com>
Repository: CRAN
Date/Publication: 2023-11-24 14:00:03 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 03:23:06 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
