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General:
DoseFinding-package     Package overview
fitDRModel              Fit a non-linear regression model with linear
                        covariates (normal, homoscedastic data).
gFitDRModel             Generalized fitting of dose-response models to
                        raw dose-response estimates.
Dose-Response Models    Built-in dose-response models in DoseFinding
MCPtest                 Perform model-based multiple contrast test
gMCPtest                Generalized model-based multiple contrast tests
calcOptDesign           Function to calculate an optimal design
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MCPMod-related:
plotModels              Plot candidate models
MCPMod                  Perform MCPMod analysis of a data set
bootMCPMod              Evaluate precision of dose estimate by
                        nonparametric bootstrapping
guesst                  Calculate guesstimates based on prior knowledge
planMM                  Calculate optimal contrasts and
			critical value for MCP test
sampSize                Sample size calculations for MCPMod
powerMM                 Calculate power for different sample sizes
powerScenario           Calculates the power for an planMM object under
                        a particular alternative scenario
LP                      Sensitivity analysis for misspecification of
                        standardized model parameters in MCPMod
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Datasets:
biom                    Biometrics Dose Response data
IBScovars               Irritable Bowel Syndrome Dose Response data
                        with covariates
migraine                Migraine Dose Response data

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Additional functions/help pages:
AIC.DRMod               Calculate AIC, BIC or log-likelihood for a
                        DRMod object
calcBayesEst            Calculates posterior estimates and posterior
                        model probabilities for a set of candidate
                        models (normal homoscedastic data).
DRMod and gDRMod methods
                        Methods for DRMod and gDRMod objects
ED.DRMod                Calculate EDp estimator for a DRMod object
MED.DRMod               Calculate MED for a DRMod object
calcCrit                Calculate design criterion for a specified
                        design.
critVal                 Calculate critical value for multiple contrast
                        test
fit.control             Set control parameters for non-linear model
                        fitting
fullMod                 Calculate location and scale parameters for
                        candidate set of models
genDFdata               Simulate dose-response data
getBnds                 Calculates default bounds for non-linear
                        parameters
getGrad                 Calculate the gradient for the non-linear part
                        of a DRMod object
getInit                 Starting values for non-linear parameters.
getPars                 Calculate location and scale parameters
getUpdDesign            Calculate Bayes estimates and optimal design
                        for next cohort
guesst                  Calculate guesstimates based on prior knowledge
modelMeans              Calculate mean vectors for a given candidate set
mvtnorm.control         Control options for pmvt and qmvt functions
plot.LP                 Plot method for LP objects
plot.MCPMod             Plot MCPMod model fits
plot.fullMod            Plot method for fullMod objects
plot.planMM             Plotting a planMM object
plot.powerMM            Plot method for powerMM objects
powCalc                 Calculate the power for the multiple contrast
                        test
predict.MCPMod          Predict a MCPMod object.
rndDesign               Round a continuous design to integer values.
