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FBCRM  

Phase I Optimal Dose Assignment using the FBCRM and MFBCRM Methods
View on CRAN: Click here


Download and install FBCRM package within the R console
Install from CRAN:
install.packages("FBCRM")

Install from Github:
library("remotes")
install_github("cran/FBCRM")

Install by package version:
library("remotes")
install_version("FBCRM", "1.1")



Attach the package and use:
library("FBCRM")
Maintained by
Andrew G Chapple
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-29
Latest Update: 2022-10-29
Description:
Performs dose assignment and trial simulation for the FBCRM (Fully Bayesian Continual Reassessment Method) and MFBCRM (Mixture Fully Bayesian Continual Reassessment Method) phase I clinical trial designs. These trial designs extend the Continual Reassessment Method (CRM) and Bayesian Model Averaging Continual Reassessment Method (BMA-CRM) by allowing the prior toxicity skeleton itself to be random, with posterior distributions obtained from Markov Chain Monte Carlo. On average, the FBCRM and MFBCRM methods outperformed the CRM and BMA-CRM methods in terms of selecting an optimal dose level across thousands of randomly generated simulation scenarios. Details on the methods and results of this simulation study are available on request, and the manuscript is currently under review.
How to cite:
Andrew G Chapple (2022). FBCRM: Phase I Optimal Dose Assignment using the FBCRM and MFBCRM Methods. R package version 1.1, https://cran.r-project.org/web/packages/FBCRM. Accessed 11 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited FBCRM R package
View FBCRM citation profile
Other R packages that FBCRM depends, imports, suggests or enhances
Complete documentation for FBCRM
Functions, R codes and Examples using the FBCRM R package
Some associated functions: FBCRMSimTrial . GetFBCRM . GetMFBCRM . MFBCRMSimTrial . 
Some associated R codes: FBCRMSimTrial.R . GetFBCRM.R . GetMFBCRM.R . MFBCRMSimTrial.R . RcppExports.R .  Full FBCRM package functions and examples
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