The testing step is significant indicating a non-flat dose-response @@ -396,17 +394,18 @@
plot(fit)
-To assess the uncertainty, one can additionally visualize credible bands -(orange shaded areas, default levels are 50% and 95%). These credible -bands are calculated with a bootstrap method as follows: Samples from -the posterior distribution are drawn and for every sample the simplified -fitting step and a prediction is performed. These predictions are then -used to identify and visualize the specified quantiles.
To assess the uncertainty, one can additionally visualize credible +bands (orange shaded areas, default levels are 50% and 95%). These +credible bands are calculated with a bootstrap method as follows: +Samples from the posterior distribution are drawn and for every sample +the simplified fitting step and a prediction is performed. These +predictions are then used to identify and visualize the specified +quantiles.
plot(fit, cr_bands = TRUE)
-The bootstrap based quantiles can also be directly calculated via the +
The bootstrap based quantiles can also be directly calculated via the getBootstrapQuantiles() function. For this example, only 6 quantiles are bootstrapped for each model fit.
diff --git a/articles/index.html b/articles/index.html index 233da8c..ff0afd9 100644 --- a/articles/index.html +++ b/articles/index.html @@ -10,7 +10,7 @@ BayesianMCPMod - 1.0.1 + 1.0.2 diff --git a/authors.html b/authors.html index 13a54cc..6f9af03 100644 --- a/authors.html +++ b/authors.html @@ -10,7 +10,7 @@ BayesianMCPMod - 1.0.1 + 1.0.2 @@ -79,11 +79,11 @@ Authors Citation Source: inst/CITATION - Wojciekowski, S, Andersen, L, Bossert, S (). BayesianMCPMod: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod. R package version 1.0.1. + Wojciekowski, S, Andersen, L, Bossert, S (). BayesianMCPMod: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod. R package version 1.0.2. @Manual{, title = {BayesianMCPMod: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod}, author = {Stephan Wojciekowski and Lars Andersen and Sebastian Bossert}, - note = {R package version 1.0.1}, + note = {R package version 1.0.2}, url = {https://CRAN.R-project.org/package=bhmbasket}, }
Source: inst/CITATION
inst/CITATION
Wojciekowski, S, Andersen, L, Bossert, S (). BayesianMCPMod: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod. R package version 1.0.1.
Wojciekowski, S, Andersen, L, Bossert, S (). BayesianMCPMod: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod. R package version 1.0.2.
@Manual{, title = {BayesianMCPMod: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod}, author = {Stephan Wojciekowski and Lars Andersen and Sebastian Bossert}, - note = {R package version 1.0.1}, + note = {R package version 1.0.2}, url = {https://CRAN.R-project.org/package=bhmbasket}, }
CRAN release: 2024-04-05
Performs Bayesian MCP Test step and modeling in a combined fashion. See performBayesianMCP() function for MCP Test step and getModelFits() for the modelling step
Performs Bayesian MCP Test step and modeling in a combined fashion. See performBayesianMCP() function for MCP Test step and getModelFits() for the modeling step