Package index • DoseFinding

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

Reference

Design dose-reponse trials

Analyze dose-response trials

Fit dose-response model

Datasets