R: Design and Analysis of Dose-Finding Studies

# Design and Analysis of Dose-Finding Studies

## Documentation for package ‘MCPMod’ version 1.0-10.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

MCPMod-package | Design and Analysis of Dose-Finding Studies
betaMod | Beta model
biom | Biometrics Dose Response data
critVal | Calculate critical value for multiple contrast test
emax | Emax model
exponential | Exponential (power) model
fullMod | Calculate location and scale parameters for candidate set of models
genDFdata | Simulate dose-response data
getPars | Calculate location and scale parameters
guesst | Calculate guesstimates based on prior knowledge
IBS | Irritable Bowel Syndrome Dose Response data
linear | Linear Model
linlog | Linear in log dose Model
logistic | Logistic Model
LP | Sensitivity analysis for misspecification of standardized model parameters
MCPMod | Perform MCPMod analysis of a data set
modelMeans | Calculate mean vectors for a given candidate set
mvtnorm.control | Control options for pmvt and qmvt functions
planMM | Calculate planning quantities for MCPMod
plot.fullMod | Plot method for fullMod objects
plot.LP | Plot method for LP objects
plot.MCPMod | Plot MCPMod model fits
plot.planMM | Plotting a planMM object
plot.powerMM | Plot method for powerMM objects
plotModels | Plot candidate models
powCalc | Calculate the power for the multiple contrast test
powerMM | Calculate power for different sample sizes
print.LP | Sensitivity analysis for misspecification of standardized model parameters
print.MCPMod | Perform MCPMod analysis of a data set
print.planMM | Calculate planning quantities for MCPMod
print.sampSize | Sample size calculations for MCPMod
print.summary.MCPMod | Perform MCPMod analysis of a data set
quadratic | Quadratic model
sampSize | Sample size calculations for MCPMod
sigEmax | Sigmoid Emax Model
summary.MCPMod | Perform MCPMod analysis of a data set