R: Planning and Analyzing Dose Finding Experiments

# Planning and Analyzing Dose Finding Experiments

## Documentation for package ‘DoseFinding’ version 1.4-1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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