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- updated NEWS file
- updated _pkgdown.yml - revised author list
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DESCRIPTION

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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", , "[email protected]", role = "aut"),
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person("Steven", "Brooks", , "[email protected]", role = "ctb"),
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person("Jonas", "Schick", , "[email protected]", role = "ctb"),
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person("Gina", "Kleibrink", , "[email protected]", role = "ctb")
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person("Jonas", "Schick", , "[email protected]", role = "ctb")
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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

NEWS.md

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## BayesianMCPMod 1.0.2 (xx-Feb-2024)
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- Addition of new vignette comparing frequentist and Bayesian MCPMod (using vague priors)
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- Extension of getPosterior to allow also input of fully populated variance-covariance matrices
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- Added non-monotonic models (beta and quadratic)
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- Extension of getPosterior to allow the input of a fully populated variance-covariance matrix
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- Added the non-monotonic model shapes beta and quadratic
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- New argument in assessDesign() to skip the Mod part of Bayesian MCPMod
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- More tests
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- Additional tests
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## BayesianMCPMod 1.0.1 (03-Apr-2024)
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_pkgdown.yml

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contents:
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- analysis_normal
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- Simulation_Example
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- Comparison_vignette
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- Simulation_Comparison

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