CRAN/E | BCHM

BCHM

Clinical Trial Calculation Based on BCHM Design

Installation

About

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.

System requirements JAGS

Key Metrics

Version 1.00
R ≥ 3.5
Published 2020-06-05 1421 days ago
Needs compilation? no
License LGPL-2
CRAN checks BCHM results

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Maintainer

Maintainer

J. Jack Lee

jjlee@mdanderson.org

Authors

Nan Chen
J. Jack Lee

Material

Reference manual
Package source

In Views

CausalInference

Vignettes

Using the basket Package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BCHM archive

Depends

R ≥ 3.5
rjags

Imports

stats
cluster
coda
knitr
crayon
plyr

Suggests

testthat