DoseFinding: Planning and Analyzing Dose Finding Experiments

Canonical link: https://rscholar.com/pkg/DoseFinding

Bjoern Bornkamp • Jose Pinheiro • Frank Bretz • Ludger Sandig • Marius Thomas • Novartis Pharma AG • View description and downloads View dependencies GitHub project

2010 Published

1.2-1 Version

0 Citations

6 Authors

Referenced by ⇅	Year
clustDRM: Clustering Dose-Response Curves and Fitting Appropriate Models to Them (Version 0.1-0)	2019
BayesianMCPMod: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod (Version 1.0.1)	2024
LRcontrast: Dose Response Signal Detection under Model Uncertainty (Version 1.0)	2015
MCPModBC: Improved Inference in Multiple Comparison Procedure – Modelling (Version 1.1)	2023
MCPModGeneral: A Supplement to the 'DoseFinding' Package for the General Case (Version 0.1-3)	2019
MCPModPack: Simulation-Based Design and Analysis of Dose-Finding Trials (Version 0.5)	2020
RLoptimal: Optimal Adaptive Allocation Using Deep Reinforcement Learning (Version 1.0.1)	2024
TestingSimilarity: Bootstrap Test for the Similarity of Dose Response Curves Concerning the Maximum Absolute Deviation (Version 1.1)	2015
clinDR: Simulation and Analysis Tools for Clinical Dose Response Modeling (Version 2.4.1)	2017
dosedesignR: Interactive Designing of Dose Finding Studies (Version 0.3.0)	2020
uniReg: Unimodal Penalized Spline Regression using B-Splines (Version 1.1)	2014

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.