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DESCRIPTION

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@@ -6,8 +6,8 @@ Authors@R: c(
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person("Boehringer Ingelheim Pharma GmbH & Co. KG", role = c("cph", "fnd")),
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person("Stephan", "Wojciekowski", , "[email protected]", role = c("aut", "cre")),
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person("Lars", "Andersen", , "[email protected]", role = "aut"),
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person("Sebastian", "Bossert", , "sebastian.bossert@boehringer-ingelheim.com", role = "aut"),
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person("Jonas", "Schick", , "jonas.schick@boehringer-ingelheim.com", role = "ctb")
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person("Jonas", "Schick", , "jonas.schick@boehringer-ingelheim.com", role = "ctb"),
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person("Sebastian", "Bossert", , "sebastian.bossert@boehringer-ingelheim.com", role = "aut")
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)
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Description: Bayesian MCPMod (Fleischer et al. (2022)
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<doi:10.1002/pst.2193>) is an innovative method that improves the

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