Package: tipmap
Type: Package
Title: Tipping Point Analysis for Bayesian Dynamic Borrowing
Version: 0.4.1
Authors@R: c(
    person("Morten", "Dreher", role = "aut"),
    person("Christian", "Stock", email = "christian.stock@boehringer-ingelheim.com", role = c("aut","cre"), comment = c(ORCID = "0000-0002-3493-3234")),
    person("Emma", "Torrini", role = "ctb")
    )
Description: Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Mainly an implementation of an approach proposed by Best and colleagues (2021) is provided <doi:10.1002/pst.2093>. Further functions facilitate the specification of the robust MAP prior via expert elicitation (using the roulette method) and computation of the posterior distribution of the treatment effect with either fixed or stochastic expert-elicited weights. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.
License: Apache License 2.0
URL: https://github.com/chstock/tipmap
BugReports: https://github.com/chstock/tipmap/issues
Encoding: UTF-8
Imports: dplyr, purrr, ggplot2, RBesT
Suggests: knitr, rmarkdown, tidyr, magrittr, tibble, testthat (>=
        3.0.0),
Config/testthat/edition: 3
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-04-24 15:37:06 UTC; christianstock
Author: Morten Dreher [aut],
  Christian Stock [aut, cre] (<https://orcid.org/0000-0002-3493-3234>),
  Emma Torrini [ctb]
Maintainer: Christian Stock <christian.stock@boehringer-ingelheim.com>
Repository: CRAN
Date/Publication: 2023-04-24 19:00:02 UTC
Built: R 4.1.2; ; 2023-04-25 12:03:05 UTC; unix
