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DoseFinding (version 1.0-1)

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 (Pinheiro et al. (2014) ).

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Version

Install

install.packages('DoseFinding')

Monthly Downloads

1,838

Version

1.0-1

License

GPL-3

Maintainer

Bjoern Bornkamp

Last Published

June 25th, 2021

Functions in DoseFinding (1.0-1)

defBnds

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

Performs multiple contrast test
Mods

Define dose-response models
DR-Models

Built-in dose-response models in DoseFinding
biom

Biometrics Dose Response data
bFitMod

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

Calculate multiplicity adjusted p-values for multiple contrast test
MCPMod

MCPMod - Multiple Comparisons and Modeling
IBScovars

Irritable Bowel Syndrome Dose Response data with covariates
DoseFinding-package

Design and Analysis of dose-finding studies
guesst

Calculate guesstimates based on prior knowledge
optDesign

Function to calculate optimal designs
optContr

Calculate optimal contrasts
migraine

Migraine Dose Response data
glycobrom

Glycopyrronium Bromide dose-response data
fitMod

Fit non-linear dose-response model
Target Doses

mvtnorm.control

Control options for pmvt and qmvt functions
sampSize

Sample size calculations
neurodeg

Neurodegenerative disease simulated longitudinal dose-finding data set
powMCT

Calculate power for multiple contrast test
planMod

Evaluate performance metrics for fitting dose-response models