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BCHM (version 1.00)

Clinical Trial Calculation Based on BCHM Design

Description

Users can estimate the treatment effect for multiple subgroups basket trials based on the Bayesian Cluster Hierarchical Model (BCHM). In this model, a Bayesian non-parametric method is applied to dynamically calculate the number of clusters by conducting the multiple cluster classification based on subgroup outcomes. Hierarchical model is used to compute the posterior probability of treatment effect with the borrowing strength determined by the Bayesian non-parametric clustering and the similarities between subgroups. To use this package, 'JAGS' software and 'rjags' package are required, and users need to pre-install them.

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Version

Install

install.packages('BCHM')

Monthly Downloads

304

Version

1.00

License

LGPL-2

Maintainer

J. Lee

Last Published

June 5th, 2020

Functions in BCHM (1.00)

BCHMplot_cluster

Plot the clustering results of subgroups.
BCHM

Perform the analysis based on the BCHM design.
BCHMplot_post_dist

Plot the posterior distributions of subgroups.
BCHMplot_post_value

Plot the posterior response of subgroups.