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DoseFinding (version 0.9-16)

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

2,540

Version

0.9-16

License

GPL-3

Maintainer

Bjoern Bornkamp

Last Published

January 4th, 2018

Functions in DoseFinding (0.9-16)

Mods

Define dose-response models
bFitMod

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

Glycopyrronium Bromide dose-response data
guesst

Calculate guesstimates based on prior knowledge
migraine

Migraine Dose Response data
mvtnorm.control

Control options for pmvt and qmvt functions
biom

Biometrics Dose Response data
defBnds

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

Fit non-linear dose-response model
neurodeg

Neurodegenerative disease simulated longitudinal dose-finding data set
optContr

Calculate optimal contrasts
DR-Models

Built-in dose-response models in DoseFinding
MCPMod

MCPMod - Multiple Comparisons and Modeling
MCTtest

Performs multiple contrast test
powMCT

Calculate power for multiple contrast test
sampSize

Sample size calculations
optDesign

Function to calculate optimal designs
planMod

Evaluate performance metrics for fitting dose-response models
Target Doses

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

Design and Analysis of dose-finding studies
IBScovars

Irritable Bowel Syndrome Dose Response data with covariates