crm12Comb: Phase I/II CRM Based Drug Combination Design

Implements the adaptive designs for integrated phase I/II trials of drug combinations via continual reassessment method (CRM) to evaluate toxicity and efficacy simultaneously for each enrolled patient cohort based on Bayesian inference. It supports patients assignment guidance in a single trial using current enrolled data, as well as conducting extensive simulation studies to evaluate operating characteristics before the trial starts. It includes various link functions such as empiric, one-parameter logistic, two-parameter logistic, and hyperbolic tangent, as well as considering multiple prior distributions of the parameters like normal distribution, gamma distribution and exponential distribution to accommodate diverse clinical scenarios. Method using Bayesian framework with empiric link function is described in: Wages and Conaway (2014) <doi:10.1002/sim.6097>.

Version:	0.1.3
Depends:	R (≥ 3.5.0)
Imports:	dplyr, ggplot2, ggforce
Suggests:	knitr, rmarkdown
Published:	2024-05-02
Author:	Junying Wang [cre, aut], Song Wu [aut], Jie Yang [aut]
Maintainer:	Junying Wang <junying.wang at stonybrook.edu>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	crm12Comb results

Documentation:

Reference manual:	crm12Comb.pdf
Vignettes:	crm12Comb: R Package of Phase I/II Adaptive Design for Drug Combinations based on CRM Design

Downloads:

Package source:	crm12Comb_0.1.3.tar.gz
Windows binaries:	r-devel: crm12Comb_0.1.3.zip, r-release: not available, r-oldrel: crm12Comb_0.1.3.zip
macOS binaries:	r-release (arm64): crm12Comb_0.1.3.tgz, r-oldrel (arm64): crm12Comb_0.1.3.tgz, r-release (x86_64): crm12Comb_0.1.3.tgz, r-oldrel (x86_64): crm12Comb_0.1.3.tgz

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