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DESCRIPTION
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DESCRIPTION
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Package: BayesianMCPMod
Title: Simulate, Evaluate, and Analyze Dose Finding Trials with
Bayesian MCPMod
Version: 1.0.1
Authors@R: c(
person("Boehringer Ingelheim Pharma GmbH & Co. KG", role = c("cph", "fnd")),
person("Stephan", "Wojciekowski", , "stephan.wojciekowski@boehringer-ingelheim.com", role = c("aut", "cre")),
person("Lars", "Andersen", , "lars.andersen@boehringer-ingelheim.com", role = "aut"),
person("Steven", "Brooks", , "steven.brooks@boehringer-ingelheim.com", role = "ctb"),
person("Sebastian", "Bossert", , "sebastian.bossert@boehringer-ingelheim.com", role = "aut")
)
Description: Bayesian MCPMod (Fleischer et al. (2022)
<doi:10.1002/pst.2193>) is an innovative method that improves the
traditional MCPMod by systematically incorporating historical data,
such as previous placebo group data. This R package offers functions
for simulating, analyzing, and evaluating Bayesian MCPMod trials with
normally distributed endpoints. It enables the assessment of trial
designs incorporating historical data across various true
dose-response relationships and sample sizes. Robust mixture prior
distributions, such as those derived with the Meta-Analytic-Predictive
approach (Schmidli et al. (2014) <doi:10.1111/biom.12242>), can be
specified for each dose group. Resulting mixture posterior
distributions are used in the Bayesian Multiple Comparison Procedure
and modeling steps. The modeling step also includes a weighted model
averaging approach (Pinheiro et al. (2014) <doi:10.1002/sim.6052>).
Estimated dose-response relationships can be bootstrapped and
visualized.
License: Apache License (>= 2)
URL: https://github.com/Boehringer-Ingelheim/BayesianMCPMod
BugReports: https://github.com/Boehringer-Ingelheim/BayesianMCPMod/issues
Depends: R (>= 4.2)
Imports: checkmate, DoseFinding (>= 1.1-1), ggplot2, nloptr, RBesT,
stats
Suggests: clinDR, dplyr, knitr, rmarkdown, spelling, testthat (>=
3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2024-04-03 21:04:14 UTC; wojcie
Author: Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd],
Stephan Wojciekowski [aut, cre],
Lars Andersen [aut],
Steven Brooks [ctb],
Sebastian Bossert [aut]
Maintainer: Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>
Repository: CRAN
Date/Publication: 2024-04-05 13:53:00 UTC