rbmi/DESCRIPTION at main · openpharma/rbmi · GitHub

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Package: rbmi
Title: Reference Based Multiple Imputation
Version: 1.6.0.9000
Authors@R: c(
    person("Lukas A.", "Widmer", email = "lukas_andreas.widmer@novartis.com", role = c("aut", "cre")),
    person("Craig", "Gower-Page", email = "craig.gower-page@novartis.com", role = c("aut")),
    person("Isaac", "Gravestock", email = "isaac.gravestock@roche.com", role = c("aut")),
    person("Alessandro", "Noci", email = "alessandro.noci@roche.com", role = c("aut")),
    person("Marcel", "Wolbers", email = "marcel.wolbers@roche.com", role = "ctb"),
    person("Daniel", "Sabanes Bove", email = "daniel.sabanes_bove@rconis.com", role = c("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://openpharma.github.io/rbmi/, https://github.com/openpharma/rbmi
BugReports: https://github.com/openpharma/rbmi/issues
RoxygenNote: 7.3.3
Suggests:
    dplyr,
    tidyr,
    nlme,
    testthat,
    emmeans,
    tibble,
    mvtnorm,
    knitr,
    rmarkdown,
    bookdown,
    lubridate,
    purrr,
    ggplot2,
    rstan (>= 2.26.0),
    R.rsp,
    withr,
    spelling
Config/testthat/edition: 3
Imports:
    mmrm,
    pkgload,
    Matrix,
    tools,
    methods,
    R6,
    assertthat,
    jinjar,
    fs,
    stringr,
    lifecycle
Depends:
    R (>= 3.4.0)
License: Apache License (>= 2)
VignetteBuilder: R.rsp
Language: en-GB