Planning and Analyzing Dose Finding Experiments
Start externally hosted DesignMCPMod Shiny App
DoseFinding: Planning and Analyzing Dose Finding Experiments
Function to calculate optimal designs
Fit a dose-response model using Bayesian or bootstrap methods.
Performs Bayesian multiple contrast test
Calculate critical value for multiple contrast test
Calculates default bounds for non-linear parameters in dose-response m...
Built-in dose-response models in DoseFinding
Fit non-linear dose-response model
Calculate guesstimates based on prior knowledge
MCPMod - Multiple Comparisons and Modeling
Calculate multiplicity adjusted p-values for multiple contrast test
Performs multiple contrast test
Define dose-response models
Prior to posterior updating for a multivariate normal mixture
Control options for pmvt and qmvt functions
Calculate optimal contrasts
Evaluate performance metrics for fitting dose-response models
Calculate power for multiple contrast test
Sample size calculations
Calculate dose estimates for a fitted dose-response model (via `fitMod...
The DoseFinding package provides functions for the design and analysis of dose-finding experiments (with focus on pharmaceutical Phase II clinical trials). It provides functions for: multiple contrast tests, fitting non-linear dose-response models (using Bayesian and non-Bayesian estimation), calculating optimal designs and an implementation of the MCPMod methodology (Pinheiro et al. (2014) <doi:10.1002/sim.6052>).
Useful links