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| DoseFinding-package | Package overview |
| AIC.DRMod | Calculate AIC, BIC or log-likelihood for a DRMod object |
| betaMod | Built-in dose-response models in DoseFinding |
| betaModGrad | Built-in dose-response models in DoseFinding |
| biom | Biometrics Dose Response data |
| bootMCPMod | Evaluate precision of dose estimate by nonparametric bootstrapping |
| calcBayesEst | Calculates posterior estimates and posterior model probabilities for a set of candidate models. |
| calcCrit | Calculate design criterion for a specified design. |
| calcOptDesign | Function to calculate an optimal design |
| coef.DRMod | Methods for DRMod and gDRMod objects |
| coef.gDRMod | Methods for DRMod and gDRMod objects |
| critVal | Calculate critical value for multiple contrast test |
| DoseFinding | Package overview |
| DR-Models | Built-in dose-response models in DoseFinding |
| DRMod and gDRMod methods | Methods for DRMod and gDRMod objects |
| ED | Calculate EDp estimator for a DRMod object |
| ED.DRMod | Calculate EDp estimator for a DRMod 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 |
| fit.control | Set control parameters for non-linear model fitting |
| fitDRModel | Fit a non-linear regression model with linear covariates. |
| 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 |
| gFitDRModel | Generalized fitting of dose-response models to raw dose-response estimates |
| gMCPtest | Generalized multiple contrast tests |
| guesst | Calculate guesstimates based on prior knowledge |
| IBScovars | Irritable Bowel Syndrome Dose Response data with covariates |
| intervals.DRMod | Methods for DRMod and gDRMod objects |
| intervals.gDRMod | Methods for DRMod and gDRMod objects |
| linear | Built-in dose-response models in DoseFinding |
| linearGrad | 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 | Calculate AIC, BIC or log-likelihood for a DRMod object |
| LP | Sensitivity analysis for misspecification of standardized model parameters in MCPMod |
| MCPMod | Perform MCPMod analysis of a data set |
| MCPtest | Perform model-based multiple contrast test |
| MED | Calculate MED for a DRMod object |
| MED.DRMod | Calculate MED for a DRMod object |
| migraine | Migraine Dose Response data |
| modelMeans | Calculate mean vectors for a given candidate set |
| mvtnorm.control | Control options for pmvt and qmvt functions |
| planMM | Calculate optimal contrasts and critical value for MCP test |
| plot.DRMod | Methods for DRMod and gDRMod objects |
| plot.fullMod | Plot method for fullMod objects |
| plot.gDRMod | Methods for DRMod and gDRMod 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 |
| powerScenario | Calculates the power for an planMM object under a particular alternative scenario |
| predict.DRMod | Methods for DRMod and gDRMod objects |
| predict.gDRMod | Methods for DRMod and gDRMod objects |
| predict.MCPMod | Predict a MCPMod object. |
| print.LP | Sensitivity analysis for misspecification of standardized model parameters in MCPMod |
| print.MCPMod | Perform MCPMod analysis of a data set |
| print.planMM | Calculate optimal contrasts and critical value for MCP test |
| print.sampSize | Sample size calculations for MCPMod |
| print.summary.MCPMod | Perform MCPMod analysis of a data set |
| quadratic | Built-in dose-response models in DoseFinding |
| quadraticGrad | Built-in dose-response models in DoseFinding |
| rndDesign | Round a continuous design to integer values. |
| sampSize | Sample size calculations for MCPMod |
| sigEmax | Built-in dose-response models in DoseFinding |
| sigEmaxGrad | Built-in dose-response models in DoseFinding |
| summary.MCPMod | Perform MCPMod analysis of a data set |
| vcov.DRMod | Methods for DRMod and gDRMod objects |
| vcov.gDRMod | Methods for DRMod and gDRMod objects |