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DoseFinding (version 0.1-3)

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

0.1-3

License

GPL-3

Maintainer

Bjrn Bornkamp

Last Published

May 22nd, 2010

Functions in DoseFinding (0.1-3)

getInit

Starting values for non-linear parameters.
DoseFinding-internal

DoseFinding package internal functions
genDFdata

Simulate dose-response data
ED.DRMod

Calculate EDp estimator for a DRMod object
biom

Biometrics Dose Response data
plot.LP

Plot method for LP objects
plot.fullMod

Plot method for fullMod objects
planMM

Calculate planning quantities for MCPMod
MCPtest

Perform model-based multiple contrast test
rndDesign

Round a continuous design to integer values.
emax

Emax model
mvtnorm.control

Control options for pmvt and qmvt functions
guesst

Calculate guesstimates based on prior knowledge
AIC.DRMod

Calculate AIC (or BIC) for a DRMod object
fit.control

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

Extract coefficients from a DRMod object
calcOptDesign

Function to calculate an optimal design
getPars

Calculate location and scale parameters
plot.powerMM

Plot method for powerMM objects
getGrad

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

Calculates default bounds for non-linear parameters
IBScovars

Irritable Bowel Syndrome Dose Response data with covariates
plot.DRMod

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

Calculate confidence intervals for parameters in a DRMod object.
DoseFinding-package

Planning and Analyzing Dose Finding experiments
powerScenario

Calculates the power for an planMM object under a particular alternative scenario
linlog

Linear in log dose Model
plot.MCPMod

Plot MCPMod model fits
critVal

Calculate critical value for multiple contrast test
fullMod

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

Calculate MED for a DRMod object
quadratic

Quadratic model
bootMCPMod

Evaluate precision of dose estimate by nonparametric bootstrapping
MCPMod

Perform MCPMod analysis of a data set
sampSize

Sample size calculations for MCPMod
LP

Sensitivity analysis for misspecification of standardized model parameters in MCPMod
predict.MCPMod

Predict a MCPMod object.
vcov.DRMod

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

Calculate design criterion for a specified design.
plotModels

Plot candidate models
exponential

Exponential (power) model
betaMod

Beta model
fitDRModel

Fit a non-linear regression model with linear covariates.
powCalc

Calculate the power for the multiple contrast test
logistic

Logistic Model
linear

Linear Model
predict.DRMod

Predict a DRMod object.
plot.planMM

Plotting a planMM object
powerMM

Calculate power for different sample sizes
modelMeans

Calculate mean vectors for a given candidate set
sigEmax

Sigmoid Emax Model