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DoseFinding (version 0.9-9)

Planning and Analyzing Dose Finding experiments

Description

The DoseFinding package provides functions for the design and analysis of dose-finding experiments (with focus on pharmaceutical Phase II clinical trials). It provides functions for: multiple contrast tests, fitting non-linear dose-response models (using Bayesian and non-Bayesian estimation), calculating optimal designs and an implementation of the MCPMod methodology.

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Version

Install

install.packages('DoseFinding')

Monthly Downloads

1,722

Version

0.9-9

License

GPL-3

Maintainer

Bjoern Bornkamp

Last Published

October 16th, 2013

Functions in DoseFinding (0.9-9)

biom

Biometrics Dose Response data
bFitMod

Fit a dose-response model using Bayesian or bootstrap methods.
Mods

Define dose-response models
defBnds

Calculates default bounds for non-linear parameters in dose-response models
glycobrom

Glycopyrronium Bromide dose-response data
MCTtest

Performs multiple contrast test
DoseFinding-package

Design and Analysis of dose-finding studies
guesst

Calculate guesstimates based on prior knowledge
Target Doses

Calculate dose estimates for a fitted dose-response model (via fitMod or bFitMod) or a Mods object.
mvtnorm.control

Control options for pmvt and qmvt functions
fitMod

Fit non-linear dose-response model
DR-Models

Built-in dose-response models in DoseFinding
migraine

Migraine Dose Response data
optContr

Calculate optimal contrasts
neurodeg

Neurodegenerative disease simulated longitudinal dose-finding data set
planMod

Evaluate performance metrics for fitting dose-response models
optDesign

Function to calculate optimal designs
powMCT

Calculate power for multiple contrast test
sampSize

Sample size calculations
MCPMod

MCPMod - Multiple Comparisons and Modeling
IBScovars

Irritable Bowel Syndrome Dose Response data with covariates