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 |