DESCRIPTION

Package: rbmi
Title: Reference Based Multiple Imputation
Version: 1.3.1
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("Isaac", "Gravestock", email = "isaac.gravestock@roche.com", role = "aut"),
    person("F. Hoffmann-La Roche AG", 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
Roxygen: list(markdown = TRUE)
URL: https://insightsengineering.github.io/rbmi/, https://github.com/insightsengineering/rbmi
BugReports: https://github.com/insightsengineering/rbmi/issues
RoxygenNote: 7.3.2
Suggests: 
    dplyr,
    tidyr,
    nlme,
    testthat,
    emmeans,
    tibble,
    mvtnorm,
    knitr,
    rmarkdown,
    bookdown,
    lubridate,
    purrr,
    ggplot2,
    rstan (>= 2.26.0),
    R.rsp
Config/testthat/edition: 3
Imports:
    mmrm,
    pkgload,
    Matrix,
    tools,
    methods,
    R6,
    assertthat
Depends: 
    R (>= 3.4.0)
License: Apache License (>= 2)
VignetteBuilder: R.rsp