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DoseFinding (version 0.1-2)

Planning and Analyzing Dose Finding experiments

Description

The DoseFinding package provides functions for the design and analysis of dose-finding experiments (for example pharmaceutical Phase II clinical trials). It provides functions for: multiple contrast tests, fitting non-linear dose-response models, calculating optimal designs and an implementation of the MCPMod methodology. Currently only normally distributed homoscedastic endpoints are supported.

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Version

Install

install.packages('DoseFinding')

Monthly Downloads

2,391

Version

0.1-2

License

GPL-3

Maintainer

Bjrn Bornkamp

Last Published

May 16th, 2010

Functions in DoseFinding (0.1-2)

ED.DRMod

Calculate EDp estimator for a DRMod object
getGrad

Calculate the gradient for the non-linear part of a DRMod object
modelMeans

Calculate mean vectors for a given candidate set
calcOptDesign

Function to calculate an optimal design
getInit

Starting values for non-linear parameters.
MCPtest

Perform model-based multiple contrast test
AIC.DRMod

Calculate AIC (or BIC) for a DRMod object
IBScovars

Irritable Bowel Syndrome Dose Response data with covariates
biom

Biometrics Dose Response data
linear

Linear Model
LP

Sensitivity analysis for misspecification of standardized model parameters in MCPMod
MCPMod

Perform MCPMod analysis of a data set
DoseFinding-package

Planning and Analyzing Dose Finding experiments
intervals.DRMod

Calculate confidence intervals for parameters in a DRMod object.
guesst

Calculate guesstimates based on prior knowledge
fullMod

Calculate location and scale parameters for candidate set of models
coef.DRMod

Extract coefficients from a DRMod object
genDFdata

Simulate dose-response data
betaMod

Beta model
emax

Emax model
critVal

Calculate critical value for multiple contrast test
getPars

Calculate location and scale parameters
fit.control

Set control parameters for non-linear model fitting
MED.DRMod

Calculate MED for a DRMod object
mvtnorm.control

Control options for pmvt and qmvt functions
exponential

Exponential (power) model
fitDRModel

Fit a non-linear regression model with linear covariates.
plot.DRMod

Plot the dose-response curve of a DRMod object.
plotModels

Plot candidate models
linlog

Linear in log dose Model
predict.MCPMod

Predict a MCPMod object.
plot.powerMM

Plot method for powerMM objects
plot.fullMod

Plot method for fullMod objects
sigEmax

Sigmoid Emax Model
powerScenario

Calculates the power for an planMM object under a particular alternative scenario
plot.MCPMod

Plot MCPMod model fits
predict.DRMod

Predict a DRMod object.
powCalc

Calculate the power for the multiple contrast test
plot.planMM

Plotting a planMM object
rndDesign

Round a continuous design to integer values.
powerMM

Calculate power for different sample sizes
DoseFinding-internal

DoseFinding package internal functions
sampSize

Sample size calculations for MCPMod
vcov.DRMod

Calculate the (asymptotic) variance covariance matrix of a DRMod object
bootMCPMod

Evaluate precision of dose estimate by nonparametric bootstrapping
calcCrit

Calculate design criterion for a specified design.
logistic

Logistic Model
plot.LP

Plot method for LP objects
getBnds

Calculates default bounds for non-linear parameters
planMM

Calculate planning quantities for MCPMod
quadratic

Quadratic model