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BCHM

1.00

Clinical Trial Calculation Based on BCHM Design

0packages depend
3.5Kdownloads / year
74.3%test coverage
9/13flavors OK

Overview

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.

Install

Health

CRAN checks
4NOTE9OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘J. Jack Lee <jjlee@mdanderson.org>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Nan",
                      family = "Chen",
                      role = "aut"),
               person(given = c("J.", "Jack"),
                      family = "Lee",
                      role = c("aut", "cre"),
                      email = "jjlee@mdanderson.org"))
as necessary.
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from:
  ‘coda’ ‘knitr’ ‘plyr’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 1.3 min · r-release-macos-x86_64
Status changes
  • NOTE9 OK, 4 NOTENow
  • NOTE7 OK, 7 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.00
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
85%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.5K
CRAN downloads in the past year
Rank #11,299 · ~10/day · ~295/mo
Daily download trend is not available in this view yet.
34730 days
92190 days
3.5K1 year
Compare downloads with other packages →
Also on114 r2u32 autocran91 c2d4u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing BCHM adds 10 packages (5 with compiled code, 3.2 MB of source tarballs). Heaviest: Rcpp 1.8 MB, knitr 479 KB, plyr 392 KB.

Depends (2)
R >= 3.5rjags
Imports (6)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (2)

Maintainer since 1.00 (2020), previously Nan Chen (0.96 to 0.99)

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.00Latest
    record
    2020-06-06 · current release · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.99
    record
    2020-02-19 · diff ↗
  • 0.96
    record
    2019-12-20
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-12-20
Total releases
3 / 7 yrs
License
LGPL-2 OSI
Minimum R
≥ 3.5
Download size
307 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BCHM")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BCHM version 1.00 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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