Package: BCHM 1.00

J. Jack Lee

BCHM: Clinical Trial Calculation Based on BCHM Design

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.

Authors:Nan Chen and J. Jack Lee

BCHM_1.00.tar.gz
BCHM_1.00.tar.gz(r-4.7-any)BCHM_1.00.tar.gz(r-4.6-any)
BCHM_1.00.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
BCHM/json (API)

# Install 'BCHM' in R:
install.packages('BCHM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

2.00 score 4 scripts 256 downloads 4 exports 12 dependencies

Last updated from:0e845f7f8d. Checks:2 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE114
source / vignettesOK194
linux-release-x86_64NOTE122
wasm-releaseOK115

Exports:BCHMBCHMplot_clusterBCHMplot_post_distBCHMplot_post_value

Dependencies:clustercodacrayonevaluatehighrknitrlatticeplyrRcpprjagsxfunyaml

Using the BCHM Package

Rendered fromusing-the-BCHM-package.Rmdusingknitr::rmarkdownon May 26 2026.

Last update: 2019-12-20
Started: 2019-12-20