| AIC.DRMod | Fit non-linear dose-response model | 
| betaMod | Built-in dose-response models in DoseFinding | 
| betaModGrad | Built-in dose-response models in DoseFinding | 
| bFitMod | Fit a dose-response model using Bayesian or bootstrap methods. | 
| biom | Biometrics Dose Response data | 
| bMCTtest | Performs Bayesian multiple contrast test | 
| calcCrit | Function to calculate optimal designs | 
| coef.bFitMod | Fit a dose-response model using Bayesian or bootstrap methods. | 
| coef.DRMod | Fit non-linear dose-response model | 
| critVal | Calculate critical value for multiple contrast test | 
| defBnds | Calculates default bounds for non-linear parameters in dose-response models | 
| DesignMCPModApp | Start externally hosted DesignMCPMod Shiny App | 
| drmodels | Built-in dose-response models in DoseFinding | 
| ED | Calculate dose estimates for a fitted dose-response model (via 'fitMod()', 'bFitMod()') or 'maFitMod()') or a 'Mods()' object | 
| emax | Built-in dose-response models in DoseFinding | 
| emaxGrad | Built-in dose-response models in DoseFinding | 
| exponential | Built-in dose-response models in DoseFinding | 
| exponentialGrad | Built-in dose-response models in DoseFinding | 
| fitMod | Fit non-linear dose-response model | 
| gAIC | Fit non-linear dose-response model | 
| gAIC.DRMod | Fit non-linear dose-response model | 
| getResp | Define dose-response models | 
| glycobrom | Glycopyrronium Bromide dose-response data | 
| guesst | Calculate guesstimates based on prior knowledge | 
| IBScovars | Irritable Bowel Syndrome Dose Response data with covariates | 
| linear | Built-in dose-response models in DoseFinding | 
| linearGrad | Built-in dose-response models in DoseFinding | 
| linInt | Built-in dose-response models in DoseFinding | 
| linIntGrad | Built-in dose-response models in DoseFinding | 
| linlog | Built-in dose-response models in DoseFinding | 
| linlogGrad | Built-in dose-response models in DoseFinding | 
| logistic | Built-in dose-response models in DoseFinding | 
| logisticGrad | Built-in dose-response models in DoseFinding | 
| logLik.DRMod | Fit non-linear dose-response model | 
| maFitMod | Fit dose-response models via bootstrap model averaging (bagging) | 
| MCPMod | MCPMod - Multiple Comparisons and Modeling | 
| MCTpval | Calculate multiplicity adjusted p-values for multiple contrast test | 
| MCTtest | Performs multiple contrast test | 
| migraine | Migraine Dose Response data | 
| Mods | Define dose-response models | 
| mvpostmix | Prior to posterior updating for a multivariate normal mixture | 
| mvtnorm-control | Control options for pmvt and qmvt functions | 
| mvtnorm.control | Control options for pmvt and qmvt functions | 
| neurodeg | Neurodegenerative disease simulated longitudinal dose-finding data set | 
| optContr | Calculate optimal contrasts | 
| optDesign | Function to calculate optimal designs | 
| planMod | Evaluate performance metrics for fitting dose-response models | 
| plot.bFitMod | Fit a dose-response model using Bayesian or bootstrap methods. | 
| plot.DRdesign | Function to calculate optimal designs | 
| plot.DRMod | Fit non-linear dose-response model | 
| plot.maFit | Fit dose-response models via bootstrap model averaging (bagging) | 
| plot.MCPMod | MCPMod - Multiple Comparisons and Modeling | 
| plot.Mods | Define dose-response models | 
| plot.optContr | Calculate optimal contrasts | 
| plot.planMod | Evaluate performance metrics for fitting dose-response models | 
| plot.targN | Sample size calculations | 
| plotContr | Calculate optimal contrasts | 
| plotMods | Define dose-response models | 
| powMCT | Calculate power for multiple contrast test | 
| powMCTInterim | Calculate Conditional or Predictive Power for Multiple Contrast Test | 
| powN | Sample size calculations | 
| predict.bFitMod | Fit a dose-response model using Bayesian or bootstrap methods. | 
| predict.DRMod | Fit non-linear dose-response model | 
| predict.maFit | Fit dose-response models via bootstrap model averaging (bagging) | 
| predict.MCPMod | MCPMod - Multiple Comparisons and Modeling | 
| print.maFit | Fit dose-response models via bootstrap model averaging (bagging) | 
| quadratic | Built-in dose-response models in DoseFinding | 
| quadraticGrad | Built-in dose-response models in DoseFinding | 
| rndDesign | Function to calculate optimal designs | 
| sampSize | Sample size calculations | 
| sampSizeMCT | Sample size calculations | 
| sigEmax | Built-in dose-response models in DoseFinding | 
| sigEmaxGrad | Built-in dose-response models in DoseFinding | 
| summary.planMod | Evaluate performance metrics for fitting dose-response models | 
| Target doses | Calculate dose estimates for a fitted dose-response model (via 'fitMod()', 'bFitMod()') or 'maFitMod()') or a 'Mods()' object | 
| targN | Sample size calculations | 
| TD | Calculate dose estimates for a fitted dose-response model (via 'fitMod()', 'bFitMod()') or 'maFitMod()') or a 'Mods()' object | 
| vcov.DRMod | Fit non-linear dose-response model |